[
1. Akyildiz, I. F., T. Melodia, K. R. Chowdhury. A Survey on Wireless Multimedia Sensor Networks. – Computer Networks, Vol. 51, 2007, No 4, pp. 921-960.10.1016/j.comnet.2006.10.002
]Search in Google Scholar
[
2. Al-Turjman, F. Hybrid Approach for Mobile Couriers Election in Smart-Cities. – In: Proc. of IEEE 41st Conference on Local Computer Networks (LCN’16), 2016.10.1109/LCN.2016.79
]Search in Google Scholar
[
3. Kumar, R., D. Kumar. Multi-Objective Fractional Artificial Bee Colony Algorithm to Energy Aware Routing Protocol in Wireless Sensor Network. – Wireless Networks, Vol. 22, 2016, No 5, pp. 1461-1474.10.1007/s11276-015-1039-4
]Search in Google Scholar
[
4. Amaro, J. P., F. J. Ferreira, R. Cortesão, J. Landeck. Powering Wireless Sensor Networks Nodes for Complex Protocols on Harvested Energy. – Procedia Technology, Vol. 5, 2012, pp. 518-526.10.1016/j.protcy.2012.09.057
]Search in Google Scholar
[
5. Walton, R., C. Anthony, M. Ward, N. Metje, D. N. Chapman. Radioisotopic Battery and Capacitor System for Powering Wireless Sensor Networks. – Sensors and Actuators A: Physical, Vol. 203, 2013, pp. 405-412.10.1016/j.sna.2013.09.010
]Search in Google Scholar
[
6. He, P., H. Tian, H. Shen. Energy-Efficient Cooperative MIMO Routing in Wireless Sensor Networks. – In: Proc. of 18th IEEE International Conference on Networks (ICON’12), 2012. IEEE.10.1109/ICON.2012.6506537
]Search in Google Scholar
[
7. Hu, X., Y. Li, H. Xu. Multi-Mode Clustering Model for Hierarchical Wireless Sensor Networks. – Physica A: Statistical Mechanics and Its Applications, Vol. 469, 2017, pp. 665-675.10.1016/j.physa.2016.11.133
]Search in Google Scholar
[
8. Mann, P. S., S. Singh. Improved Metaheuristic Based Energy-Efficient Clustering Protocol for Wireless Sensor Networks. – Engineering Applications of Artificial Intelligence, Vol. 57, 2017, pp. 142-152.10.1016/j.engappai.2016.10.014
]Search in Google Scholar
[
9. Pouyan, A., S. Basu, M. Alimohammadi, S. Hosseinirad. LEACH Routing Algorithm Optimization through Imperialist Approach. – International Journal of Engineering, Vol. 27, 2014, No 1, pp. 39-50.10.5829/idosi.ije.2014.27.01a.06
]Search in Google Scholar
[
10. Fotouhi, H., M. Alves, M. Z. Zamalloa, A. Koubâa. Reliable and Fast Hand-offs in Low-Power Wireless Networks. – IEEE Transactions on Mobile Computing, Vol. 13, 2014, No 11, pp. 2620-2633.10.1109/TMC.2014.2307867
]Search in Google Scholar
[
11. Chung-Shuo, F. A. N. Rich: Region-Based Intelligent Cluster-Head Selection and Node Deployment Strategy in Concentric-Based WSNs. – Advances in Electrical and Computer Engineering, Vol. 13, 2013, No 4, pp. 3-8.10.4316/AECE.2013.04001
]Search in Google Scholar
[
12. Geeta, D., N. Nalini, R. C. Biradar. Fault Tolerance in Wireless Sensor Network Using Hand-off and Dynamic Power Adjustment Approach. – Journal of Network and Computer Applications, Vol. 36, 2013, No 4, pp. 1174-1185.10.1016/j.jnca.2013.02.005
]Search in Google Scholar
[
13. Tyagi, S., N. Kumar. A Systematic Review on Clustering and Routing Techniques Based upon LEACH Protocol for Wireless Sensor Networks. – Journal of Network and Computer Applications, Vol. 36, 2013, No 2, pp. 623-645.10.1016/j.jnca.2012.12.001
]Search in Google Scholar
[
14. Javaid, N., M. Waseem, Z. A. Khan, U. Qasim, K. Latif et al. ACH: Away Cluster Heads Scheme for Energy Efficient Clustering Protocols in WSNs. – In: Proc. of Saudi International Electronics, Communications and Photonics Conference, IEEE, 2013.
]Search in Google Scholar
[
15. Poduri, S., G. S. Sukhatme. Constrained Coverage for Mobile Sensor Networks. – In: Proc. of International Conference on Robotics and Automation (ICRA’04). Vol. 1, 2004, pp. 165-171.10.1109/ROBOT.2004.1307146
]Search in Google Scholar
[
16. Zou, Y., K. Chakrabarty. Sensor Deployment and Target Localization Based on Virtual Forces. – In: Proc. of 22th Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No 03CH37428), 2003, IEEE.10.1109/INFCOM.2003.1208965
]Search in Google Scholar
[
17. Singh, B., D. K. Lobiyal. A Novel Energy-Aware Cluster Head Selection Based on Particle Swarm Optimization for Wireless Sensor Networks. – Human-Centric Computing and Information Sciences, Vol. 2, 2012, No 1, p. 13.10.1186/2192-1962-2-13
]Search in Google Scholar
[
18. Srinivas, M. Cluster Based Energy Efficient Routing Protocol Using Ant Colony Optimization and Breadth First Search. – Procedia Computer Science, Vol. 89, 2016, pp. 124-133.10.1016/j.procs.2016.06.019
]Search in Google Scholar
[
19. Pal, V., G. Singh, R. Yadav. Cluster Head Selection Optimization Based on Genetic Algorithm to Prolong Lifetime of Wireless Sensor Networks. – Procedia Computer Science, Vol. 57, 2015, pp. 1417-1423.10.1016/j.procs.2015.07.461
]Search in Google Scholar
[
20. Kaur, S., R. Mahajan. Hybrid Meta-Heuristic Optimization Based Energy Efficient Protocol for Wireless Sensor Networks. – Egyptian Informatics Journal, Vol. 19, 2018, No 3, pp. 145-150.10.1016/j.eij.2018.01.002
]Search in Google Scholar
[
21. Sasirekha, S., S. Swamynathan. Cluster-Chain Mobile Agent Routing Algorithm for Efficient Data Aggregation in Wireless Sensor Network. – Journal of Communications and Networks, Vol. 19, 2017, No 4, pp. 392-401.10.1109/JCN.2017.000063
]Search in Google Scholar
[
22. Chatterjee, M., S. K. Das, D. Turgut. WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks. – Cluster Computing, Vol. 5, 2002, No 2, pp. 193-204.10.1023/A:1013941929408
]Search in Google Scholar
[
23. Masood, A., A. A. Ikram, I. Wahid, M. Inam, N. Ayub, S. Ali. A Bio-Inspired Clustering Scheme in Wireless Sensor Networks: BeeWSN. – Procedia Computer Science, Vol. 130, 2018, pp. 206-213.10.1016/j.procs.2018.04.031
]Search in Google Scholar
[
24. Inam, M., A. A. Ikram, M. Ahmad. Hierarchical Energy Efficient Routing Protocol (HEERP) for Wireless Sensor Networks (WSN). – Int. J. Computer Science Telecommun, Vol. 4, 2013, pp. 25-29.
]Search in Google Scholar
[
25. Heinzelman, W. R., A. Chandrakasan, H. Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. – In: Proc. of 33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA, Vol. 2, 2000, p. 10.
]Search in Google Scholar
[
26. Heinzelman, W. B., A. P. Chandrakasan, H. Balakrishnan. An Application-Specific Protocol Architecture for Wireless Microsensor Networks. – IEEE Transactions on Wireless Communications, Vol. 1, 2002, No 4, pp. 660-670.10.1109/TWC.2002.804190
]Search in Google Scholar
[
27. Wang, C., J. Liu, J. Kuang, A. S. Malik, H. Xiang. An Improved Leach Protocol for Application-Specific Wireless Sensor Networks. – In: Proc. of 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing, Beijing, 2009, pp. 1-5.10.1109/WICOM.2009.5302519
]Search in Google Scholar
[
28. Watfa, M. K., O. Mirza, J. Kawtharani. BARC: A Battery Aware Reliable Clustering Algorithm for Sensor Networks. – Journal of Network and Computer Applications, Vol. 32, 2009, No 6, pp. 1183-1193.10.1016/j.jnca.2009.05.005
]Search in Google Scholar
[
29. Shankar, T., S. Shanmugavel, A. Rajesh. Hybrid HSA and PSO Algorithm for Energy Efficient Cluster Head Selection in Wireless Sensor Networks. – Swarm and Evolutionary Computation, Vol. 30, 2016, pp. 1-10.10.1016/j.swevo.2016.03.003
]Search in Google Scholar
[
30. Rao, P. S., P. K. Jana, H. Banka. A Particle Swarm Optimization Based Energy Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks. – Wireless Networks, Vol. 23, 2017, No 7, pp. 2005-2020.10.1007/s11276-016-1270-7
]Search in Google Scholar
[
31. Sarkar, A., T. S. Murugan. Cluster Head Selection for Energy Efficient and Delay-Less Routing in Wireless Sensor Network. – Wireless Networks, Vol. 25, 2019, No 1, pp. 303-320.10.1007/s11276-017-1558-2
]Search in Google Scholar
[
32. Oladimeji, M. O., M. Turkey, S. Dudley. HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Networks. – Applied Soft Computing, Vol. 55, 2017, pp. 452-461.10.1016/j.asoc.2017.02.016
]Search in Google Scholar
[
33. Hong, Z., R. Wang, X. Li. A Clustering-Tree Topology Control Based on the Energy Forecast for Heterogeneous Wireless Sensor Networks. – IEEE/CAA Journal of Automatica Sinica, Vol. 3, 2016, No 1, pp. 68-77.10.1109/JAS.2016.7373764
]Search in Google Scholar
[
34. Gajjar, S., M. Sarkar, K. Dasgupta. FAMACROW: Fuzzy and Ant Colony Optimization Based Combined Mac, Routing, and Unequal Clustering Cross-Layer Protocol for Wireless Sensor Networks. – Applied Soft Computing, Vol. 43, 2016, pp. 235-247.10.1016/j.asoc.2016.02.019
]Search in Google Scholar
[
35. Chakraborty, A., R. R. Rout, A. Chakrabarti, S. K. Ghosh. On Network Lifetime Expectancy with Realistic Sensing and Traffic Generation Model in Wireless Sensor Networks. – IEEE Sensors Journal, Vol. 13, 2013, No 7, pp. 2771-2779.10.1109/JSEN.2013.2260147
]Search in Google Scholar
[
36. Zhang, Y., X. Zhang, S. Ning, J. Gao, Y. Liu. Energy-Efficient Multilevel Heterogeneous Routing Protocol for Wireless Sensor Networks. – In: IEEE Access. Vol. 7. 2019, pp. 55873-55884.10.1109/ACCESS.2019.2900742
]Search in Google Scholar
[
37. Hol, J. D., T. B. Schon, F. Gustafsson. On Resampling Algorithms for Particle Filters. – In: Proc. of 2006 IEEE Nonlinear Statistical Signal Processing Workshop, Cambridge, UK, 2006, pp. 79-82.10.1109/NSSPW.2006.4378824
]Search in Google Scholar
[
38. Douc, R., O. Cappe. Comparison of Resampling Schemes for Particle Filtering. – In: Proc. of 4th International Symposium on Image and Signal Processing and Analysis (ISPA’05), 2005, Zagreb, Croatia, pp. 64-69.10.1109/ISPA.2005.195385
]Search in Google Scholar
[
39. Dorigo, M., M. Birattari. Ant Colony Optimization. Springer, 2010.
]Search in Google Scholar
[
40. Farahnakian, F., A. Ashraf, T. Pahikkala, P. Liljeberg, J. H. Plosila et al. Using Ant Colony System to Consolidate VMs for Green Cloud Computing. – IEEE Transactions on Services Computing, Vol. 8, 2015, No 2, pp. 187-198.10.1109/TSC.2014.2382555
]Search in Google Scholar
[
41. Dorigo, M., V. Maniezzo, A. Colorni. Ant System: Optimization by a Colony of Cooperating Agents. – IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 26, 1996, No 1, pp. 29-41.10.1109/3477.48443618263004
]Search in Google Scholar
[
42. Stutzle, T., H. Hoos. MAX-MIN Ant System and Local Search for the Traveling Salesmanproblem. – In: Proc. of 1997 IEEE International Conference on Evolutionary Computation (ICEC’97), Indianapolis, IN, USA, 1997, pp. 309-314.
]Search in Google Scholar
[
43. Metropolis, N., A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller et al. Equation of State Calculations by Fast Computing Machines. – The Journal of Chemical Physics, Vol. 21, 1953, No 6, pp. 1087-1092.10.1063/1.1699114
]Search in Google Scholar
[
44. Genovese, K., L. Lamberti, C. Pappalettere. Improved Global-Local Simulated Annealing Formulation for Solving Non-Smooth Engineering Optimization Problems. – International Journal of Solids and Structures, Vol. 42, 2005, No 1, pp. 203-237.10.1016/j.ijsolstr.2004.07.015
]Search in Google Scholar
[
45. Michiels, W., E. Aarts, J. Korst. Theoretical Aspects of Local Search. – Springer Science & Business Media, 2007.
]Search in Google Scholar
[
46. Schneider, J. J., M. Puchta. Investigation of Acceptance Simulated Annealing – A Simplified Approach to Adaptive Cooling Schedules. – In: Physica A: Statistical Mechanics and Its Applications. Vol. 389. 2010, No 24, pp. 5822-5831.
]Search in Google Scholar
[
47. Hajek, B. Cooling Schedules for Optimal Annealing. – Mathematics of Operations Research, Vol. 13, 1988, No 2, pp. 311-329.10.1287/moor.13.2.311
]Search in Google Scholar
[
48. Salem, A. O. A., N. Shudifat. Enhanced Leach Protocol for Increasing a Lifetime of WSNs. – Personal and Ubiquitous Computing, 2019, pp. 901-907.10.1007/s00779-019-01205-4
]Search in Google Scholar
[
49. Behera, T. M., S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand et al. I-SEP: An Improved Routing Protocol for Heterogeneous WSN for IoT-Based Environmental Monitoring. – IEEE Internet of Things Journal, Vol. 7, January 2020, No 1, pp. 710-717.10.1109/JIOT.2019.2940988
]Search in Google Scholar
[
50. Sharma, D. K., S. Bagga, R. Rastogi. Energy Efficient Improved SEP for Routing in Wireless Sensor Networks. – In: Advances in Computer Communication and Computational Sciences, Springer. Vol. 924. 2019, pp. 143-152.10.1007/978-981-13-6861-5_13
]Search in Google Scholar
