• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2021, Volume: 14, Issue: 7, Pages: 690-697

Original Article

Game theory based adaptive transmit power control algorithm for IoT wireless sensor networks

Received Date:28 July 2020, Accepted Date:23 February 2021, Published Date:09 March 2021


Objectives: To design a transmission power control (TPC) algorithm for the Internet of Things (IoT) based Wireless Sensor Networks (WSN) such that the energy cost is reduced and the expected throughput is increased. Method: In this study, a Game theory based adaptive transmit power control (GT-ATPC) algorithm for IoT-WSN is proposed. In this algorithm, for each sender, the initial transmission power level (TPL) is determined from the difference of Received Signal Strength (RSS) measurements at the base station (BS). The TPL is adaptively adjusted by means of Game theory. For each sender, the expected throughput, energy cost and connectivity values are estimated from which a utility function is derived. Findings: By simulation results, it has been shown that GT-ATPC attains 37% higher throughput with 57% reduced energy cost and 30% lesser overhead when compared with GTS-PM approach. Novelty: The TPL of a node is adjusted based on the estimated values of utility function such that the throughput and connectivity is high and energy cost is less.

Keywords: Internet of Things (IoT); wireless sensor network (WSN); transmission power; Energy cost; game theory; utility function


  1. Razaque A, Oddo P, Amsaad HF, Sangavikar M, SM, Niraj. Power Reduction for Smart Homes in an Internet of Things Framework. IEEE. 2016. Available from: https://doi.org/10.1109/EIT.2016.7535225,2016
  2. Sindhuja P, Balamurugan MS. Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage. Indian Journal of Science and Technology. 2015;8(19). Available from: https://dx.doi.org/10.17485/ijst/2015/v8i19/76698
  3. Joy A, Manivannan D. Smart Energy Management and Scheduling using Internet of Things. Indian Journal of Science and Technology. 2016;9(48). Available from: https://dx.doi.org/10.17485/ijst/2016/v9i48/108001
  4. Kaur K, Kaur K. A Study of Power Management Techniques for Internet of Things (IoT) IEEE, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). 2016. Available from: https://doi.org/10.1109/ICEEOT.2016.7754992
  5. Alrajeh NA, Khan S, Campbell CEA, Shams B. Multi-Channel Framework for Body Area Network in Health Monitoring. Applied Mathematics & Information Sciences. 2013;7(5):1743–1747. Available from: https://dx.doi.org/10.12785/amis/070511
  6. Khan WU, Jameel F, Jamshed MA, Pervaiz H, Khan S, Liu J. Efficient power allocation for NOMA-enabled IoT networks in 6G era. Physical Communication. 2020;39. Available from: https://dx.doi.org/10.1016/j.phycom.2020.101043
  7. Alonso RM, Plets D, Pupo EF, Deruyck M, Martens L, Nieto GG, et al. IoT-Based Management Platform for Real-Time Spectrum and Energy Optimization of Broadcasting Networks. Wireless Communications and Mobile Computing. 2018;2018:1–14. Available from: https://dx.doi.org/10.1155/2018/7287641
  8. Sohail M, Khan S, Ahmad R, Singh D, Lloret J. Game Theoretic Solution for Power Management in IoT-Based Wireless Sensor Networks. Sensors. 2019;19(18):3835. Available from: https://dx.doi.org/10.3390/s19183835
  9. Ma C, Sheu JP, Hsu CX. A Game Theory Based Congestion Control Protocol for Wireless Personal Area Networks. Journal of Sensors. 2016;2016:1–13. Available from: https://dx.doi.org/10.1155/2016/6168535
  10. Maheshwari P, Sharma AK, Verma K. Game theoretic application for energy efficient mobility handling in wireless sensor network. Transactions on Emerging Telecommunications Technologies. 2020;31(9). Available from: https://dx.doi.org/10.1002/ett.4052
  11. Lin D, Wang Q. A game theory based energy-efficient clustering routing protocol for WSNs. Wireless Networks. 2016;23(4):1101–1111. Available from: https://doi.org/10.1007/s11276-016-1206-2,2016
  12. Kang K, Ye R, Pan Z, Liu J, Shimamoto S. Full-Duplex Wireless Powered IoT Networks. IEEE Access. 2018;6:53546–53556. Available from: https://dx.doi.org/10.1109/access.2018.2872024
  13. Lin S, Miao F, Zhang J, ZG, gu L, Stankovic J, et al. ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks. ACM Transactions on Sensor Networks. 2015. Available from: https://doi.org/10.1145/2746342


© 2021 Yadav & Saad.This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)


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