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Survey on Energy-Efficient Routing Protocols in Wireless Sensor Networks Using Game Theory

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Advances in Communication, Cloud, and Big Data

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 31))

Abstract

Wireless Sensor Networks (WSNs) are made up of small low-power nodes that are used in different areas like environment monitoring and several military and civilian applications. But due to its small size and limited energy source, energy efficiency is its main area of concern, and many methods have been developed to improve its network lifetime. Game Theory is being used in WSNs to improve the energy efficiency of a network and its lifetime. Game Theory is suitable for such problems as it can be used in node or network level to encourage the decision-making capabilities of WSNs. This survey paper focuses on different types of clustering protocols designed in WSNs using Game Theory to combat the problem of energy efficiency. In particular, we address the approaches by which Game Theory has been used in WSNs to improve its network lifetime including the games used in each protocol.

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References

  1. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: a survey. Comput Netw 38(4):393–422

    Article  Google Scholar 

  2. Alemdar H, Ersoy C (2010) Wireless sensor networks for healthcare: a survey. Comput Netw 54(15):2688–2710

    Article  Google Scholar 

  3. Shi HY, Wang WL, Kwok NM, Chen SY (2012) Game theory for wireless sensor networks: a survey. Sensors 12(7):9055–9097

    Article  Google Scholar 

  4. Koltsidas G, Pavlidou FN (2011) A game theoretical approach to clustering of ad-hoc and sensor networks. Telecommun Syst 47(1–2):81–93

    Article  Google Scholar 

  5. Xie D, Sun Q, Zhou Q, Qiu Y, Yuan X (2013). An efficient clustering protocol for wireless sensor networks based on localized game theoretical approach. Int J Distrib Sens Netw

    Google Scholar 

  6. Yang L, Lu YZ, Zhong YC, Wu XG, Xing SJ (2016) A hybrid, game theory based, and distributed clustering protocol for wireless sensor networks. Wireless Netw 22(3):1007–1021

    Article  Google Scholar 

  7. Kazemeyni F, Johnsen EB, Owe O, Balasingham I (2011) Group selection by nodes in wireless sensor networks using coalitional game theory. In: 16th IEEE international conference on engineering of complex computer systems (ICECCS), IEEE, pp 253–262

    Google Scholar 

  8. Zheng G, Liu S, Qi X (2012) Clustering routing algorithm of wireless sensor networks based on Bayesian game. J Syst Eng Electron 23(1):154–159

    Article  Google Scholar 

  9. Mishra M, Panigrahi CR, Sarkar JL, Pati B (2015) GECSA: a game theory based energy efficient Cluster-Head selection approach in Wireless Sensor Networks. In: 2015 international conference on man and machine interfacing (MAMI), IEEE, pp 1–5

    Google Scholar 

  10. Raja P, Dananjayan P (2015) Game theory based cooperative MIMO routing scheme for lifetime enhancement of WSN. Int J Wireless Inf Netw 22(2):116–125

    Article  Google Scholar 

  11. Tyagi S, Tanwar S, Gupta SK, Kumar N, Misra S, Rodrigues JPC, Ullah S (2015) Bayesian coalition game-based optimized clustering in wireless sensor networks. In: 2015 IEEE international conference on communications (ICC), IEEE, pp 3540–3545

    Google Scholar 

  12. Tan L, Zhang S, Jin Q (2012) Cooperative cluster head selection based on cost sharing game for energy-efficient wireless sensor networks. J Comput Inf Syst 8(9):3623–3633

    Google Scholar 

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Correspondence to Riwaz Rai .

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Rai, R., Rai, P. (2019). Survey on Energy-Efficient Routing Protocols in Wireless Sensor Networks Using Game Theory. In: Sarma, H., Borah, S., Dutta, N. (eds) Advances in Communication, Cloud, and Big Data. Lecture Notes in Networks and Systems, vol 31. Springer, Singapore. https://doi.org/10.1007/978-981-10-8911-4_1

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  • DOI: https://doi.org/10.1007/978-981-10-8911-4_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8910-7

  • Online ISBN: 978-981-10-8911-4

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