CLUSTERING ROUTING PROTOCOL BASED ON GAME THEORY IN WIRELESS SENSOR NETWORKS

Panpan Dong,∗ Bencan Gong,∗ Peng Chen,∗ and Wenqi Wu∗∗

References

  1. [1] W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan,Energy-efficient communication protocol for wireless microsen-sor networks, International Conference on System Sciences,Maui, HI, USA, 2000, 1–10.
  2. [2] P. Marappan and P. Rodrigues, An energy efficient routingprotocol for correlated data using CL-LEACH in WSN, WirelessNetworks, 22(4), 2016, 1415–1423.
  3. [3] O.A. Amodu and R.A.R. Mahmood, Impact of the energy-basedand location-based LEACH secondary cluster aggregation onWSN lifetime, Wireless Networks, 24(5), 2018, 1379–1402.
  4. [4] P. Khandnor and T. Aseri, Threshold distance-based clusterrouting protocols for static and mobile wireless sensor net-works, Turkish Journal of Electrical Engineering & ComputerSciences, 25, 2017, 1448–1459.
  5. [5] A. Al-Baz and A. El-Sayed, A new algorithm for clusterhead selection in leach protocol for wireless sensor networks,International Journal of Communication Systems, 31(1), 2018,1–13.
  6. [6] Y. Qiang, B. Pei, W. Wei, and Y. Li, An efficient cluster headselection approach for collaborative data processing in wirelesssensor networks, International Journal of Distributed SensorNetworks, 2015, 1–9.
  7. [7] J. Guo and Y. Han, Load balancing algorithm for non-uniformclustering with distributed hierarchical structure, ChineseJournal of Computer Applications, 35(2), 2015, 332–335.
  8. [8] X. Chang and D. Zhang, A new non-uniform clustering algo-rithm for wireless sensor networks, Journal of Jilin University,54(6), 2016, 1388–1394.
  9. [9] S. Men, S. Sun, and B. Xu, Wireless sensor networks non-uniform clustering and cluster heads routing algorithm basedon PSO, Chinese Journal of Sensors and Actuators, 27(9),2014, 1281–1286.
  10. [10] Z.F. Lv, F. Wang, and X.P. Hu, Energy-balancing, localdata correlation-aware clustering algorithm for wireless sensornetworks, International Journal of Robotics & Automation,33(5), 2018, 488–494.
  11. [11] P. Raja and P. Dananjayan, Game theory-based efficient en-ergy consumption routing protocol to enhance the lifetime ofWSN, International Journal of Information and Communica-tion Technology, 8(4), 2016, 357–370.
  12. [12] A. Attiah, M.F. Amjad, M. Chatterjee, and C. Zou, Anevolutionary routing game for energy balance in wireless sensornetworks, Computer Networks, 138, 2018, 31–43.6
  13. [13] D.Y. Lin and Q. Wang, An energy-efficient clustering algorithmcombined game theory and dual-cluster-head mechanism forWSNs, IEEE Access, 7, 2019, 49894–49905.
  14. [14] S. Kassan, J. Gaber, and P. Lorenz, Game theory based dis-tributed clustering approach to maximize wireless sensors net-work lifetime, Journal of Network and Computer Applications,123, 2018, 80–88.
  15. [15] N.C. Sandes and A.L.V. Coelho, Clustering ensembles: Ahedonic game theoretical approach, Pattern Recognition, 81,2018, 95–111.
  16. [16] D. Lin and Q. Wang, A game theory based energy efficientclustering routing protocol for WSNs, Wireless Networks,23(4), 2017, 1101–1111.

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