[
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