An immune clone selection based power control strategy for alleviating energy hole problems in wireless sensor networks
- 4 Downloads
In wireless sensor networks (WSNs), the creation of energy holes is extremely difficult to be avoided because the data flow usually follows a many-to-one and multi-hop pattern. Since energy holes exhaust their energy faster than other nodes, network partitions might be created, which might lead to failure of the network. Cluster-based WSNs have been widely used because of their good performance, and power control strategies are an effective way to improve energy efficiency in WSNs. In this paper, we first propose a power-based energy consumption model and a cluster-based coronal model for analyzing the energy hole problem in WSNs. Then, on the basis of the proposed models, we investigate the feasibility and effectiveness of the existing approaches for solving the energy hole problem in WSNs. Furthermore, an immune clone selection-based power control (ICSPC) strategy for alleviating the energy hole problem in WSNs is proposed. In the ICSPC strategy, the immune clone selection algorithm is used to optimize the transmission ranges of sensors in various coronas to balance the energy consumption rates of the coronas. Finally, simulation results are analyzed to show that the energy hole problem in WSNs has been largely alleviated by the ICSPC strategy, and the network lifetime is greatly prolonged.
KeywordsCluster-based coronal model Energy hole problem Immune clone selection Power control Transmission range adjustment Wireless sensor network
This work was supported in part by the National Natural Science Foundation of China under Grant 61672299, in part by the Natural Science Foundation of Jiangsu Province of China under Grant BK20160913, in part by the China Postdoctoral Science Foundation funded project under Grant 2018M640509.
- Chen Y, Li Q, Fei L, Gao Q (2012) Mitigating energy holes in wireless sensor networks using cooperative communication. In: 2012 IEEE 23rd international symposium on personal, indoor and mobile radio communications, Sydney, NSW, Australia, 9–12 September 2012, pp 857–862Google Scholar
- Esseghir M, Bouabdallah N, Pujolle G (2007) Energy provisioning model for maximizing wireless sensor network lifetime. In: 2007 First international global information infrastructure symposium, Marrakech, Morocco, 2–6 July 2007, pp 80–84Google Scholar
- Li J, Mohapatra P (2005) An analytical model for the energy hole problem in many-to-one sensor networks. In: 2005 IEEE 62nd vehicular technology conference, Dallas, TX, USA, 28 September 2005, pp 2721–2725Google Scholar
- Lian J, Chen L, Naik K, Agnew GB (2004) Modeling and enhancing the data capacity of wireless sensor networks. IEEE Monogr Sens Netw Oper 2:91–138Google Scholar
- Marta M, Cardei M (2008) Using sink mobility to increase wireless sensor networks lifetime. In: 2008 International symposium on a world of wireless, mobile and multimedia networks, Newport Beach, CA, USA, 23–26 June 2008, pp 1–10Google Scholar
- Rahman AU, Hasbullah H, Sama N (2012) Impact of Gaussian deployment strategies on the performance of wireless sensor network. In: International conference on computer & information science (ICCIS), Kuala Lumpur, Malaysia, 12–14 June 2012, pp 771–776Google Scholar
- Suganthi K, Sundaram VB (2012) A constraint based relay node deployment in heterogeneous wireless sensor networks for lifetime maximization. In: 2012 fourth international conference on advanced computing (ICoAC), Chennai, India, 13–15 December 2012, pp 1–6Google Scholar
- Thanigaivelu K, Murugan K (2012) K-level based transmission range scheme to alleviate energy hole problem in WSN. In: Proceedings of the second international conference on computational science, engineering and information technology, Coimbatore UNK, India, 26–28 October 2012, pp 476–483Google Scholar
- Wu X, Chen G, Das SK (2006) On the energy hole problem of nonuniform node distribution in wireless sensor networks. In: 2006 IEEE international conference on mobile ad hoc and sensor systems, Vancouver, BC, Canada, 9–12 October 2006, pp 180–187Google Scholar
- Wu X, Chen G, Das SK (2007) Avoiding energy holes in wireless sensor networks with nonuniform node distribution. IEEE Trans Parallel Distrib Syst 19(5):710–720Google Scholar
- Zhang J, Ci S, Sharif H, Alahmad M (2009) A battery-aware deployment scheme for cooperative wireless sensor networks. In: 2009 IEEE global telecommunications conference, Honolulu, HI, USA, 30 November–4 December 2009, pp 1–5Google Scholar