Uneingeschränkter Zugang

Role of Clustering, Routing Protocols, MAC protocols and Load Balancing in Wireless Sensor Networks: An Energy-Efficiency Perspective


Zitieren

1. Ezhilarasi, M., V. Krishnaveni. A Survey on Wireless Sensor Network: Energy and Lifetime Perspective. – Taga Journal, Vol. 14, 2018, pp. 3099-3113. ISSN: 1748-0345. Search in Google Scholar

2. Nagarajan, M., S. Karthikeyan. A New Approach to Increase the Lifetime and Efficiency of Wireless Sensor Network. – In: Proc. of IEEE International Conference of Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012, pp. 231-235.10.1109/ICPRIME.2012.6208349 Search in Google Scholar

3. Ayadi, H., A. Zouinkhi, B. Boussaid, M. N. Abdelkrim, T. Val. Energy Efficiency in WSN: IEEE 802.15.4. – In: Proc. of 17th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA), Tunisia, 2016, pp. 766-771. DOI:10.1109/STA.2016.7952060.10.1109/STA.2016.7952060 Search in Google Scholar

4. Rault, T., A. M. Bouabdallah, Y. Challah. Energy Efficiency in Wireless Sensor Networks: A Top-Down Survey. – Computer Networks, Vol. 67, 2014, pp. 104-122. https://doi.org/10.1016/j.comnet.2014.03.02710.1016/j.comnet.2014.03.027 Search in Google Scholar

5. Anitha, C. S., R. M. Suresh. Improving QoS Routing in Hybrid Wireless Mesh Networks Using Cross Layer Interaction and MAC Scheduling. – Cybernetics and Information Technologies, Vol. 15, 2015, No 3, pp. 52-67.10.1515/cait-2015-0041 Search in Google Scholar

6. Singh, V. K., R. Kumar, S. Sahana. To Enhance the Reliability and Energy Efficiency of WSN Using New Clustering Approach. – In: Proc. of International Conference on Computing, Communication and Automation (ICCCA’17), IEEE, 2017, pp. 488-493. DOI: 10.1109/CCAA.2017.8229849.10.1109/CCAA.2017.8229849 Search in Google Scholar

7. Wang, Y. Distributed Energy Balance Clustering Algorithm in Wireless Sensor Networks. – Cybernetics and Information Technologies, Vol. 13, 2013, Special Issue, pp. 88-99.10.2478/cait-2013-0040 Search in Google Scholar

8. Jiang, C., D. Yuan, Y. Zhao. Towards Clustering Algorithms in Wireless Sensor Networks – a Survey. – In: Proc. of IEEE Wireless Communications and Networking Conference, Hungary, 2009, pp. 1-6. DOI: 10.1109/WCNC.2009.4917996.10.1109/WCNC.2009.4917996 Search in Google Scholar

9. Rathna, R. Simple Clustering in Wireless Sensor Network. – Cybernetics and Information Technologies, Vol. 16, 2016, No 1, pp. 57-72.10.1515/cait-2016-0004 Search in Google Scholar

10. Liu, X. A Survey on Clutering Routing Protocols in Wireless Sensor Networks. – Sensors, Vol. 12, 2012, Issue 8, pp.11113-11153. https://doi.org/10.3390/s120811113.10.3390/s120811113347287723112649 Search in Google Scholar

11. Fu, C., Z. Jiang, W. Wei, A. Wei. An Energy Balanced Algorithm of LEACH Protocol in WSN. – International Journal of Computer Science, Vol. 10, 2013, Issue 1, pp. 354-359. ISSN: 1694-0814. Search in Google Scholar

12. Tripathi, M., M. S. Gaur, V. Laxmi, R. B. Batula. Energy Efficient Leach-C Prorocol for Wireless Sensor Network. – In: Proc. of 3rd International Conference on Computational Intelligence and Information Technology (CIIT’13), Mumbai, India, 2013, pp. 402-405. DOI: 10.1049/cp.2013.2620.10.1049/cp.2013.2620 Search in Google Scholar

13. Tang, B., D. Wang, H. Zhang. A Centralized Clustering Geographic Energy Aware Routing for Wireless Sensor Networks. – In: Proc. of IEEE International Conference on Systems, Man and Cybernetics, IEEE, Manchester, UK, 2013, pp. 1-6. DOI: 10.1109/SMC.2013.8.10.1109/SMC.2013.8 Search in Google Scholar

14. Chand, S., S. Singh, B. Kumar. Heterogenous HEED Protocol for Wireless Sensor Networks. – Wireless Personal Communications, 2014, No 77, pp. 2117-2139.10.1007/s11277-014-1629-y Search in Google Scholar

15. Han, Z., J. Wu, J. Zhang, L. Liu. A General Self Organized Tree Based Energy Balance Routing Protocol for Wireless Sensor Networks. – IEEE Transactions on Nuclear Science, Vol. 61, 2014, Issue 2, pp. 732-740. DOI: 10.1109/TNS.2014.2309351.10.1109/TNS.2014.2309351 Search in Google Scholar

16. Sharma, I., R. Singh, M. Khurana. Performance Evaluation of PEGASIS Protocol for WSN Using NS2. – In: Proc. of International Conference on Advanced Engineering and Applications, IEEE, Ghaziabad, India, 2015, pp. 926-929. DOI: 10.1109/ICACEA.2015.7164838.10.1109/ICACEA.2015.7164838 Search in Google Scholar

17. Zargham, A. Deterministic Energy Efficient Clustering Protocol for Wireless Sensor Network Using Evolutionary Optimization Technique. – International Journal of Engineering Development and Research, Vol. 4, 2016, Issue 3, pp. 710-719. ISSN: 2321-9939. Search in Google Scholar

18. Bomgni, A., B., E. T. Fute, M. L. Sindjoung, C. T. Djamegni. A Tree-Based Distributed Permutation Routing Protocol in Multi-Hop Wireless Sensor Network. – Wireless Sensor Networks, Vol. 8, 2016, No 6, pp. 93-105.10.4236/wsn.2016.86010 Search in Google Scholar

19. Sabet, M., H. Naji. An Energy Efficient Multi-Level Route-Aware Clustering Algorithm for Wireless Sensor Networks: A Self-Organized Approach. – Computers and Electrical Engineering, Vol. 56, 2016, No 1, pp. 399-417.10.1016/j.compeleceng.2016.07.009 Search in Google Scholar

20. Istwal, Y., S. K. Verma. Dual Clustering Head Routing Protocol in WSN. – In: Proc. of 8th International Conference on Computing, Communication and Network Technologies (ICCCNT’17), IEEE, New Delhi, India, 2017, pp. 1-6. DOI: 10.1109/ICCCNT.2017.8203940.10.1109/ICCCNT.2017.8203940 Search in Google Scholar

21. Singh, S., A. Malik. Heterogenous SEP Protocol for Increasing Lifetime in WSN. – Journal of Information and Optimization Sciences, Vol. 38, 2017, Issue 5, pp. 721-743.10.1080/02522667.2016.1220093 Search in Google Scholar

22. Peng, K. A Survey of Energy-Efficient Data Gathering in Wireless Sensor Networks. – Journal of Software Engineering, Vol. 11, 2017, Issue 1, pp. 94-101. ISSN:1819-4311.10.3923/jse.2017.94.101 Search in Google Scholar

23. Han, G., L. Zhang. WPO-EECRP: An Energy-Efficient Clustering Routing Protocol Based on Weighting and Parameter Optimization in WSN. – Wireless Personal Communication, Vol. 98, 2017, No 1, pp. 1171-1205.10.1007/s11277-017-4914-8 Search in Google Scholar

24. Mazumdar, N., H. Om. DUCR: Distributed Unequal Cluster-Based Routing Algorithm for Heterogenous Wireless Sensor Networks. – International Journal of Communication Systems, Vol. 30, 2017, No 18, pp. 1-14.10.1002/dac.3374 Search in Google Scholar

25. Saranya, V., S. Shankar, G. R. Kanagachidambaresan. Energy Efficient Clustering Scheme (EECS) for Wireless Sensor Networks with Mobile Sink. – Wireless Personal Communications, 2018, No 100, pp. 1553-1567.10.1007/s11277-018-5653-1 Search in Google Scholar

26. Darabkh, K. A., N. F. Al-Maaitah, I. E. Jafar, A. F. Khalifeh. EA-CRP: A Novel Energy-Aware Clustering and Routing Protocol in Wireless Sensor Networks. – Computers and Electrical Engineering, Vol. 72, 2018, pp. 702-718.10.1016/j.compeleceng.2017.11.017 Search in Google Scholar

27. Zhou, W., B. Yu. An Energy Hole Alleviating Algorithm for Wireless Sensor Networks Based on Energy-Balanced Clustering Protocol. – Communications and Computer Information Science, Vol. 2, 2018, No 1, pp. 103-116.10.1007/978-981-10-8123-1_10 Search in Google Scholar

28. Zhang, Y., M. Liu, Q. Liu. An Energy-Balanced Clustering Protocol Based on Improved CFSFDP Algorithm for Wireless Sensor Networks. – Sensors, Vol. 18, 2018, No 3, pp. 831-896.10.3390/s18030881587730629547550 Search in Google Scholar

29. Hosen, A., G. Cho. An Energy Centric Cluster-Based Routing Protocol for Wireless Sensor Networks. – Sensors, Vol. 18, 2018, No 5, pp. 1520-1532.10.3390/s18051520598279829751663 Search in Google Scholar

30. Ramluckun, M., V. Basso. An Energy-Efficient Chain-Cluster Based Intelligent Routing Technique for Wireless Sensor Networks. – Applications Computing Information, Vol. 2, 2018, No 1, pp. 78-89.10.1016/j.aci.2018.02.004 Search in Google Scholar

31. Bria, R., A. Wahab, M. Alaydrus. Energy Efficient Analysis of TEEN Routing Protocol with Isolated Nodes. – In: Proc. of 4th International Conference on Informatics and Computing (ICIC’19), IEEE, Semarang, Indonesia, 2019, pp. 1-5. DOI: 10.1109/ICIC47613.2019.8985668.10.1109/ICIC47613.2019.8985668 Search in Google Scholar

32. Dener, M. A New Energy Efficient Hierarchical Routing Protocol for Wireless Sensor Networks. – Wireless Personal Communications, 2018, No 101, pp. 269-286.10.1007/s11277-018-5687-4 Search in Google Scholar

33. Charan, P., T. Usmani, R. Paulus, S. H. Saeed. Performance of Distributed Energy Aware Routing (DEAR) Protocol with Cooperative Caching for Wireless Sensor Networks. – Wireless Sensor Networks, Vol. 11, 2019, No 3, pp. 35-45.10.4236/wsn.2019.113003 Search in Google Scholar

34. Darabkh, K. A., M. Z. El-Yabroudi, A. H. El-Mousa. BPA-CRP: A Balanced Power Aware Clustering and Routing Protocol for Wireless Sensor Networks. – Ad Hoc Networks, Vol. 82, 2019, pp. 155-171.10.1016/j.adhoc.2018.08.012 Search in Google Scholar

35. Sengathir, J., P. M. Deva. An Energy-Proficient Clustering Inspired Routing Protocol Using Improved Bkd-Tree for Enhanced Node Stability and Network Lifetime in Wireless Sensor Networks. – International Journal of Communication Systems, Vol. 33, 2020, Issue 16, pp. 1-17. DOI: 10.1002/dac.4575.10.1002/dac.4575 Search in Google Scholar

36. Moussa, N., Z. Hamidi-Alaoui, A. El Belrhti El Alaoui. ECRP: An Energy Aware Cluster Based Routing Protocol for Wireless Sensor Networks. – Wireless Networks, Vol. 26, 2020, pp. 2915-2928. https://doi.org/10.1007/S11276-019-02247-510.1007/s11276-019-02247-5 Search in Google Scholar

37. Salim, A., A. A. Badran. Effective Chain-Based Routing Algorithm for Wireless Sensor Networks. – Journal of Computational and Theoritical Nanoscience, Vol. 14, 2017, No 1, pp. 728-735.10.1166/jctn.2017.6265 Search in Google Scholar

38. Gao, Q., D. J. Holding, Y. Peng, K. J. Blow. Energy Efficiency Design Challenges in Sensor Networks. – In: Proc. of LCS, 2002, pp. 69-72. Search in Google Scholar

39. Amutha, J., S. Sharma, J. Nagar. WSN Strategies Based on Sensors, Deployment, Sensing Models, Coverage and Energy Efficiency: Review, Approaches and Open Issues. – In: Wireless Personal Communications. Springer, 2019, pp. 1089-1115. https://doi.org/10.1007/s11277-019-06903-z10.1007/s11277-019-06903-z Search in Google Scholar

40. Jurenoks, A., L. Novickis. Analysis of Wireless Sensor Network Structure and Lifetime. – Communication and Information Technologies (KIT), Vysoke Tatry, Slovakia, 2017, pp. 1-6. DOI: 10.23919/KIT.2017.8109448.10.23919/KIT.2017.8109448 Search in Google Scholar

41. Cui, S., A. Goldsmith, A. Bahai. Energy Constrained Modulation Optimization. – In: IEEE Transactions on Wireless Communications, 2005, No 4, pp. 2349-2360.10.1109/TWC.2005.853882 Search in Google Scholar

42. Jung, J. W., W. Wang, M. A. Ingram. Cooperative Transmission Range Extension for Duty-Cycle Limited Wireless Sensor Networks. – In: Proc. of International Conference on Wireless Communication, 2011, pp. 1-5.10.1109/WIRELESSVITAE.2011.5940883 Search in Google Scholar

43. Jayaweera, S. Virtual MIMO Based Cooperative Communication for Energy Constrained Wireless Sensor Networks. – IEEE Transactions on Wireless Communications, No 5, pp. 984-989.10.1109/TWC.2006.1633350 Search in Google Scholar

44. Yu, C. Low Cost Locating Method of Wireless Sensor Network in Precision Agriculture. – Cybernetics and Information Technologies, Vol. 16, 2016, No 6, pp. 123-132.10.1515/cait-2016-0082 Search in Google Scholar

45. Xie, R., A. Liu, J. Gao. A Residual Energy Aware Schedule Scheme for WSNs Employing Adjustable Awake/Sleep Duty Cycle. – Wireless Personal Communications, 2016, No 20, pp. 1859-1887.10.1007/s11277-016-3428-0 Search in Google Scholar

46. Yang, X., W. Zhang. Improved DV-Hop Localization Algorithm Based on Bat Algorithm. – Cybernetics and Information Technologies, Vol. 16, 2016, No 1, pp. 89-98.10.1515/cait-2016-0007 Search in Google Scholar

47. Shakov, V., I. Koo. Depletion-of-Battery Attack: Specificity, Modelling and Analysis. – Sensors, Vol. 18, 2018, Issue 6, p. 1849. https://doi.org/10.3390/s1806184910.3390/s18061849602192729882784 Search in Google Scholar

48. Gnanaprasambikai, L., N. Munnusamy. Data Pre-Processing and Classification for Traffic Anomaly Intrusion Detection Using NSLKDD Dataset. – Cybernetics and Information Technologies, Vol. 18, 2018, No 3, pp. 111-119.10.2478/cait-2018-0042 Search in Google Scholar

49. Afroz, F., R. Braun. Energy-Efficient MAC Protocols for Wireless Sensor Networks: A Survey. – International Journal of Sensor Networks, Vol. 32, 2020, Issue 3, pp. 150-173. DOI: 10.1504/IJSNET.2020.105563.10.1504/IJSNET.2020.105563 Search in Google Scholar

50. Shah, I. K., T. Maity, Y. S. Dohare. Algorithm for Energy Consumption Minimization in Wireless Sensor Networks. – IET Communications, Vol. 14, 2019, Issue 8, pp. 1301-1310. ISSN: 1751-8628. DOI: 10.1049/iet-com.2019.0465.10.1049/iet-com.2019.0465 Search in Google Scholar

51. Smita, P., L. Santhosh, B. Iyer, P. Deshpande, S. Sharma, U. Shiukar. An Energy-Efficient MAC Protocol for Wireless Sensor Networks. – In: Advances in Intelligent Systems and Computing. Vol. 1025. Springer, Singapore, 2020, pp. 177-187. ISBN: 978-981-32-9514-8. https://doi.org/10.1007/978-981-32-95155-17 Search in Google Scholar

52. Huang, P., L. Liao, S. Soltani, M. W. Mukta, N. Xi. The Evolution of MAC Protocols in Wireless Sensor Networks: A Survey. – IEEE Communication Surveys and Tutorials, Vol. 15, 2013, No 1, pp. 101-120.10.1109/SURV.2012.040412.00105 Search in Google Scholar

53. Quintero, V., C. Estevez, M. Orchard, A. Perez. Improvements of Energy-Efficient Techniques in WSNS: A MAC-Protocol Approach. – IEEE Communication Surveys and Tutorials, Vol. 21, 2018, No 2, pp. 1188-1208. DOI:10.1109/COMST.2018.2875810.10.1109/COMST.2018.2875810 Search in Google Scholar

54. Ye, W., J. Heidemann, D. Estrin. An Energy-Efficient MAC Protocol for Wireless Sensor Networks. – In: Proc. of INFOCOM 21st Annual Joint Conf. IEEE Computer and Communications Societies Proc. IEEE, New York, NY, USA, 2002, Vol. 3, pp. 1567-1576. Search in Google Scholar

55. Schurgers, C., V. Tsiatsis, S. Ganeriwal, M. Srivastava. Topology Management of Sensor Networks: Exploiting Latency and Density. – In: Proc. of 3rd Symposium on Mobile Ad Hoc Networking and Computing, ACM. Lausanne, Switzerland, 2002, pp. 135-145. Search in Google Scholar

56. Van Dam, T., K. Langendoen. An Adaptive Energy-Efficient MAC Protocol for Wireless Sensor Networks. – In: Proc. of 1st International Conference on EmbeddedNetworked Sensor Systems, ACM, Los Angeles, California, USA, 2003, pp. 171-180.10.1145/958491.958512 Search in Google Scholar

57. Rajendran, V., K. Obraczia, J. J. Garcia-Luna-Aceves. Energy-Efficient Collision Free Medium Access Control for Wireless Sensor Networks. – In: Proc. of 1st International Conference on Embedded Networked Sensor Systems (SenSys’03), Los Angeles, California, USA, 2003, pp. 181-192.10.1145/958491.958513 Search in Google Scholar

58. Lu, G., B. Krishnamachari, C. S. Ragavendra. An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Wireless Sensor Networks. – In: Proc. of 18th International Parallel and Distributed Processing Symposium, IEEE, Vol. 18, 2004, pp. 3091-3098. Search in Google Scholar

59. Li, J., G. Y. Lazarou. A Bit-Map Assisted Energy-Efficient MAC Scheme for Wireless Sensor Networks. – In: Proc. of 3rd International Symposium of IPSN, Berkeley, CA, 2004, pp. 55-60.10.1145/984622.984631 Search in Google Scholar

60. Polastre, J., J. Hill, D. Culler. Versatile Power Media for Wireless Sensor Networks. – In: Proc. of 2nd International Conference on Embedded Networked Sensor Systems, ACM, Baltimore, USA, 2004, pp. 95-107.10.1145/1031495.1031508 Search in Google Scholar

61. Miller, M. J., N. H. Vaidya. Minimizing Energy Consumption in Sensor Networks Using a Wakeup Radio. – In: Proc. of IEEE Wireless Communications and Networking Conference, IEEE, Vol. 4, 2004, pp. 2335-2340. Search in Google Scholar

62. El-Hoiydi, A., J. D. Decotignie. Low Power Downlink MAC Protocols for Infrastructure Wireless Sensor Networks. – Mobile Networks and Applications, Vol. 10, 2005, No 5, pp. 675-690.10.1007/s11036-005-3362-y Search in Google Scholar

63. Suh, C., Y. B. Ko. A Traffic-Aware Energy-Efficient MAC Protocol for Wireless Sensor Networks. – In: Proc. of International Symposium on Circuit Systems (ISCAS’05), Kobe, Japan, 2005, pp. 2975-2978. Search in Google Scholar

64. Buettner, M., G. V. Yee, E. Anderson, R. Han. X-MAC A Short Preamble Protocol for Duty-Cycled Wireless Sensor Networks University of Colorado at Boulder X-MAC: A Short Preamble Protocol for Duty-Cycled. – Work, Vol. 76, 2006, pp. 307-320.10.1145/1182807.1182838 Search in Google Scholar

65. Nam, Y., H. Lee, H. Jung. An Adaptive MAC Protocol Guaranteeing Network Lifetime for Wireless Sensor Networks Applications. – Computer Communications, Vol. 30, 2007, No 13, pp. 1-7.10.1016/j.comcom.2007.05.031 Search in Google Scholar

66. Du, S., A. K. Saha, D. B. Johnson. RMAC: A Routing-Enhanced Duty-Cycle MAC Protocol for Wireless Sensor Networks. – In: Proc. of 26th IEEE International Conference on Computer Communications, IEEE INFOCOM, 2007, IEEE, pp. 1478-1486. Search in Google Scholar

67. Shafiullah, G. M., A. Thompson, P. Wolfs, S. Ali. Energy-Efficient TDMA MAC Protocol for Wireless Sensor Networks Applications. – In: Proc. of 5th ICECE, Bangladesh, 24-27 December 2008, pp. 85-90. Search in Google Scholar

68. Kim, Y., M. Shin, H. Cha. Y-MAC: An Energy Efficient Multi-Channel MAC Protocol for Dense Wireless Sensor Networks. – In: Proc. of International Conference on Information Processing in Sensor Networks, IEEE, 2008, pp. 53-63. Search in Google Scholar

69. Sun, Y., O. Gurewitz, D. B. Johnson. RI-MAC: A Receiver Initiated Asynchronous Duty Cycled MAC Protocol for Dynamic Traffic Loads in Wireless Sensor Networks. – In: Proc. of 6th ACM Conference on Embedded Network Sensor Systems, 2008, ACM, pp. 1-14. Search in Google Scholar

70. Yadav, R., S. Varma, N. Malaviya. Optimized Medium Control Access for Wireless Sensor Network. – International Journal of Computer Science and Network Security, 2008, pp. 334-338. Search in Google Scholar

71. Niafar, S., S. Shahhoseini. A New Sink-Based Energy Efficient and Delay Sensitive MAC Protocol for Large Scale WSNs. – In: Proc. of International Symposium on Performance Evaluation Computer Telecommunication Systems (SPECTS’09), 2009, Istanbul, Turkey, Vol. 41, pp. 178-184. Search in Google Scholar

72. Liu, S., K. W. Fan, P. Sinha. CMAC: An Energy Efficient MAC Layer Protocol Using Convergent Packet Forwarding for Wireless Sensor Networks. – ACM Transactions on Sensor Networks, Vol. 5, 2009, No 4, pp. 1-34.10.1145/1614379.1614381 Search in Google Scholar

73. Zheng, G., J. Fu, S. Tang, Y. Li, Z. Dong. A Dual Channel Based Energy Efficient and Low Latency MAC Protocol for Wireless Sensor Networks. – In: Proc. of 2nd International Conference on Networks Security, Wireless Communications and Trusted Computing, IEEE, Wuhan, Hubei, China, Vol. 1, 2010, pp. 466-469.10.1109/NSWCTC.2010.116 Search in Google Scholar

74. Tang, L., Y. Sun, O. Gurewitz, D. B. Johnson. PWMAC: An Energy Efficient Predictive-Wakeup MAC Protocol l for Wireless Sensor Networks. – In: Proc. of IEEE INFOCOM, IEEE, 2011, pp. 1305-1313. Search in Google Scholar

75. Henna, S. SA-RI-MAC: Sender-Assisted Receiver-Initiated Asynchronous Duty Cycle MAC Protocol for Dynamic Traffic Loads in Wireless Sensor Networks. – In: Proc. of International Conference on Mobile Lightweight Wireless Systems, 2011, Springer, Bilbao, Spain, pp. 120-135. Search in Google Scholar

76. Mazloum, N. S., O. Edfors. DCW-MAC: An Energy Efficient Medium Access Scheme Using Duty-Cycled Low Power Wake-Up Receivers. – In: Proc. of IEEE Vehicular Technology Conference (VTC Fall), IEEE, San Francisco, CA, USA, 2011, pp. 1-5. Search in Google Scholar

77. Hefeida, M. S., T. Canli, A. Khokhar. CL-MAC: A Cross Layer MAC Protocol for Heterogenous Wireless Sensor Networks. – Ad Hoc Networks, Vol. 11, 2013, No 1, pp. 213-225.10.1016/j.adhoc.2012.05.005 Search in Google Scholar

78. Jang, B., J. B. Lim, M. L. Sichitiu. An Asynchronous Scheduled MAC Protocol for Wireless Sensor Networks. Computer Networks, Vol. 57, 2013, No 1, pp. 85-98.10.1016/j.comnet.2012.09.002 Search in Google Scholar

79. Han, X., L. Shu, Y. Chen, H. Zhou. WX-MAC: An Energy Efficient MAC Protocol for Wireless Sensor Networks. – In: Proc. of IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems, 2013, IEEE, Hangzhou, China, pp. 423-424. Search in Google Scholar

80. Liang, L., X. Liu, Y. Wang, W. Feng, G. Yang. SW-MAC: A Low-Latency MAC Protocol with Adaptive Sleeping for Wireless Sensor Networks. – Wireless Personal Communiations, Vol. 77, 2014, No 2, pp. 1191-1211.10.1007/s11277-013-1561-6 Search in Google Scholar

81. Morshed, S., G. Heijenk. TR-MAC: An Energy Efficient MAC Protocol Exploiting Transmitted Reference Modulation for Wireless Sensor Networks. – In: Proc. of 17th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, ACM, 2014, Montreal, QC, Canada, pp. 21-29. Search in Google Scholar

82. Liu, C. J., P. Huang, L. Xiao. TAS-MAC: A Traffic Adaptive Synchronous MAC Protocol for Wireless Sensor Networks. – ACM Transactions on Sensor Networks (TOSN), Vol. 12, 2016, No 1, pp. 1-30.10.1145/2835180 Search in Google Scholar

83. Anchora, L., A. Capone, L. Mainetti, V. Mighali, L. Patrono, F. Simone. AS2-MAC: An Energy Efficient MAC Protocol for Wireless Sensor Networks. – Ad Hoc and Sensor Wireless Networks, Vol. 31, 2016, No 1-4, pp. 199-226. Search in Google Scholar

84. Usha, N. S., M. Hassen, S. Saha. Efficient Duty Cycle Management for Reduction of Energy Consumption in Wireless Sensor Networks. – In: Proc. of International Conference on Electrical and Electronic Engineering (ICEEE’17), 2017, IEEE, pp. 1-4.10.1109/CEEE.2017.8412906 Search in Google Scholar

85. Subramani, A. K., I. Paramasivam. PRIN: A Priority-Based MAC Protocol for Wireless Sensor Networks Varying the Sample Inter-Arrival Time. – Wireless Personal Communications, Vol. 92, 2017, No 3, Springer, US, pp. 863-881.10.1007/s11277-016-3581-5 Search in Google Scholar

86. Tong, F., J. Pan. Adaptive Data Collection with Free Addressing and Dynamic Duty-Cycling for Sensor Networks. – In: Lecture Notes of the Institute of Computer Sciences, Socio-Informatics and Telecommunications Engineering, Mobile Networks and Applications. Vol. 199. 2017, pp. 212-22210.1007/978-3-319-60717-7_21 Search in Google Scholar

87. Gulshan, S., S. Kandasamy. Performance Evaluation of Wireless Sensor Network MAC Protocols with Early Sleep Problem. – International Journal of Communication Networks and Distributed Systems, Vol. 25, 2020, No 2, pp. 123-144.10.1504/IJCNDS.2020.108875 Search in Google Scholar

88. Sneha, V., M. Nagarajan. Localization in Wireless Sensor Networks – A Review. – Cybernetics and Information Technologies, Vol. 20, 2020, No 4, pp. 3-26.10.2478/cait-2020-0044 Search in Google Scholar

89. Gupta, G., M. Younis. Load-Balanced Clustering of Wireless Sensor Networks. – In: Proc. of IEEE International Conference in Communications, ICC’03, Vol. 3, 2003, pp. 1848-1852. Search in Google Scholar

90. Ma, M., Y. Yang. Clustering and Load Balancing in Hybrid Sensor Networks with Mobile Cluster Heads. – In: Proc. of 3rd International Conference on Quality of Service in Heterogenous Wired Wireless Networks, ACM, 2006, p. 16.10.1145/1185373.1185395 Search in Google Scholar

91. Low, C. P., C. Fang, M. Ng, Y. H. Ang. Load-Balanced Clustering Algorithms for Wireless Sensor Networks, of Wireless Sensor Networks. – In: Proc. of IEEE International Conference in Communications, 2007, pp. 3485-3490.10.1109/ICC.2007.576 Search in Google Scholar

92. Deng, Y., Y. Hu. A Load-Balanced Clustering Algorithm for Heterogenous Wireless Sensor Networks. – In: Proc. of IEEE International Conference in e-Product, e-Service and e-Entertainment (ICEEE’10), 2010, pp. 1-4.10.1109/ICEEE.2010.5661337 Search in Google Scholar

93. Cheng, C. F., C. F. Yu. Data Gathering in Wireless Sensor Networks: A Combine TSP Reduce Approach. – IEEE Transactions Vehicular Technology, Vol. 65, 2016, No 4, pp. 2309-2324.10.1109/TVT.2015.2502625 Search in Google Scholar

94. Sharma, V., I. You, R. Kumar. Energy Efficient Data Dissemination in Multi-UAV Coordinated Wireless Sensor Networks. – Mobile Information Systems, Vol. 2016, 2016, pp. 1-13. Search in Google Scholar

95. Li, Z., J. Zhang, Y. Li, L. Bai, Y. Ji. Joint Jobs Cheduling and Light Path Provisioning in Fog Computing Micro Data Center Networks. – Journal of Optimized Communication Networks, Vol. 10, 2018, No 7, p. 152.10.1364/JOCN.10.00B152 Search in Google Scholar

96. Singh Toor, A., A. K. Jain. Energy Aware Cluster Based Multi-Hop: A New Energy Efficient Routing Protocol for Wireless Sensor Networks. – Sensor Letters, Vol. 16, 2018, No 4, pp. 304-310.10.1166/sl.2018.3958 Search in Google Scholar

97. Maio, Y., Z. Sun, N. Wang, Y. Cao, H. Cruickshank. Time Efficient Data Collection with Mobile Sink and MIMO Technique in Wireless Sensor Networks. – IEEE System Journal, Vol. 12, 2018, No 1, pp. 639-647.10.1109/JSYST.2016.2597166 Search in Google Scholar

98. Fang, S., Z. Cai, W. Sun, A. Liu, F. Liu, Z. Liang, G. Wang. Feature Selection Method Based on Class Discriminative Degree for Intelligent Medical Diagnosis. – Computer Materials Continua, Vol. 55, 2018, No 3, pp. 419-433. Search in Google Scholar

99. Balasubramanian, D. L., V. Govindasamy. Study on Evolutionary Approaches for Improving the Energy Efficiency of Wireless Sensor Applications. – EAI Endorsed Transactions on Internet of Things, Vol. 5, 2019, Issue 20.10.4108/eai.13-7-2018.164856 Search in Google Scholar

100. Gherbi, C., Z. Aliouat, M. Benmohammed. A Novel Load Balancing Scheduling Algorithm for Wireless Sensor Networks. – Journal of Network Systems Management, Vol. 27, 2019, No 2, pp. 430-462.10.1007/s10922-018-9473-0 Search in Google Scholar

101. Ezhilarasi, M., V. Krishnaveni. An Evolutionary Multipath Energy-Efficient Routing Protocol (EMEER) for Network Lifetime Enhancement in Wireless Sensor Networks. – In: Soft Computing. 2019, pp. 8367-8377. https://doi.org/10.1007/s00500-019-03928-110.1007/s00500-019-03928-1 Search in Google Scholar

102. El Alami, H., A. Najid. ECH: An Enhanced Clustering Hierarchy Approach to Maximize Lifetime of Wireless Sensor Networks. – In: IEEE Access. Vol. 7. 2019, pp. 107142-107153.10.1109/ACCESS.2019.2933052 Search in Google Scholar

103. Li, X., B. Keegan, F. Mtenzi, T. Weise, M. Tan. Energy Efficient Load Balancing Ant Based Routing Algorithm for Wireless Sensor Networks. – In: IEEE Access. Vol. 7. 2019, pp. 113182-113196.10.1109/ACCESS.2019.2934889 Search in Google Scholar

104. Ben Aissa, Y., A. Bachir, M. Khalgui, A. Koubaa, Z. Li, T. Qu. On Feasibility of Multichannel Reconfigurable Wireless Sensor Networksunder Real-Time and Energy Constraints. – IEEE Transactions Systems, Man, Cybernetic Systems, Early Access, 2019. DOI: 10.1109/TSMC.2019.2897166.10.1109/TSMC.2019.2897166 Search in Google Scholar

105. Sun, Z., L. Li, X. Xing, Z. Lv, N. N. Xiong. A Novel Node Deployment Assignment Scheme with Data Association Attributed in Wireless Sensor Networks, Journal of Internet Technology, Vol. 20, 2019, No 2, pp. 509-520. Search in Google Scholar

106. Wang, T., H. Luo, A. Jia, A. Liu, M. Xie. MTES: An Intelligent Trust Evaluation Scheme in Sensor-Cloud-Enabled Industrial Internet of Things. – Trans. Ind. Informat, Vol. 16, 2020, No 3, pp. 2054-2062.10.1109/TII.2019.2930286 Search in Google Scholar

107. Naushad, A., G. Abbas, S. A. Shah, Z. H. Abbas. Energy Efficient Clustering with Reliable and Load-Balanced Multipath Routing for Wireless Sensor Networks. – In: Proc. of 3rd International Conference on Advancements in Computational Sciences (ICACS’20), IEEE, Pakistan, 2020, pp. 1-9. DOI: 10.1109/ICACS47775.2020.9055957.10.1109/ICACS47775.2020.9055957 Search in Google Scholar

108. Sachan, S., M. Vats, A. Mishra, S. Choudhary. Comparitive Analysis of Clustering Algorithm for WSN. – Intelligent Computing and Engineering, 2020, pp. 63-71.10.1007/978-981-15-2780-7_9 Search in Google Scholar

109. Panja, A. K., A. Ghosh. Qualitative Survey on Sensor Node Deployment, Load Balancing and Energy Utilization in Sensor Network. – Nature Inspired Computing for Wireless Sensor Networks, Springer, 2020, pp. 259-277. https://doi.org/10.1007/978-981-15-2125-6_1110.1007/978-981-15-2125-6_11 Search in Google Scholar

110. Rajpoot, P., P. Dwivedi. Optimized and Load Balanced Clustering for Wireless Sensor Network to Increase the Lifetime of WSN Using MADM Approaches. – Wireless Networks, 2020, No 26, pp. 215-251. https://doi.org/10/1007/s11276-018-1812-210.1007/s11276-018-1812-2 Search in Google Scholar

111. Adil, M., R. Khan, M. A. Almaiah, M. Binsawad, J. Ali, A. A. Saaidah, Q. Thah, H. Ta. An Efficient Load Balancing Scheme of Energy Guage Nodes to Maximize the Lifespan of Constraint Oriented Networks. – In: IEEE Access. Vol. 8. 2020, pp. 148510-148527. DOI: 10.1109/ACCESS.2020.3015941.10.1109/ACCESS.2020.3015941 Search in Google Scholar

112. Zhou, J., Z. Lin. Light Weight Load-Balanced and Authentication Scheme for a Cluster Based Wireless Sensor Networks. – International Journal of Distributed Sensor Networks, Vol. 17, 2021, No 2. DOI: 10.1177/1550147720980326.10.1177/1550147720980326 Search in Google Scholar

113. Munusamy, N., K. Srinivasan. Various Node Deployment Strategies in Wireless Sensor Network, IPASJ. – International Journal of Computer Science (IIJCS), Vol. 5, 2017, Issue 8, pp. 039-044. Search in Google Scholar

eISSN:
1314-4081
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
4 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Informatik, Informationstechnik