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Energy efficient cluster head formation in wireless sensor network

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Abstract

In clarification of wireless sensor network (WSN) clustering process at household and overseas, an energy efficient cluster head formation technique for WSN are set forth with the purpose of solving the problem of arbitrary cluster head election which may cause overlying coverage and uneven energy utilization in cluster communiqué. Proposed algorithm selects the cluster head in two stages. In first stage selection of cluster head is done by professed probability and in second stage selection of cluster head is done by endurance time approximation. Simulation outcomes exhibit proposed scheme steadiness network energy in two stages in contrast with existing scheme. The network lifetime is enlarged by significant amount compared existing LEACH protocol. Furthermore, endurance time of network is elongated in contrast with EBDC algorithm as well as AEOC algorithm accomplishing the helpfulness of network energy utilization which has larger network lifespan.

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References

  • Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) A survey on sensor networks. IEEE Commun Mag 40(8):102–105

    Article  Google Scholar 

  • Al-Karaki JN, Kamal AE (2004) Routing techniques in wireless sensor networks: a survey. IEEE Wirel Commun 11(6):6–28

    Article  Google Scholar 

  • Arampatzis T, Lygeros J, Manesis S (2005) A survey of applications of wireless sensors and wireless sensor networks. In: Proc. 2005 IEEE Int. Symp. on, Mediterrean Conf. Control Autom. Intell. Control. 2005, pp 719–724

  • Dodd JE (1985) The ideas of particle physics: an introduction for scientists. Am J Phys 53(10):1015

    Article  Google Scholar 

  • Fan CS (2013) Rich: region-based intelligent cluster-head selection and node deployment strategy in concentric-based wsns. Adv Electr Comput Eng 13(4):3–8

    Article  Google Scholar 

  • Fotouhi H, Alves M, Zamalloa MZ, Koubâa A (2014) Reliable and fast hand-offs in low-power wireless networks. IEEE Trans Mob Comput 13(11):2620–2633

    Article  Google Scholar 

  • Geeta DD, Nalini N, Biradar RC (2013) Fault tolerance in wireless sensor network using hand-off and dynamic power adjustment approach. J Netw Comput Appl 36(4):1174–1185

    Article  Google Scholar 

  • He S, Dai Y, Zhou R, Zhao S (2012) A clustering routing protocol for energy balance of WSN based on genetic clustering algorithm. IERI Procedia 2:788–793

    Article  Google Scholar 

  • He D, Kumar N, Chen J, Lee CC, Chilamkurti N, Yeo SS (2013) Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks. Multimed Syst 21(1):49–60

    Article  Google Scholar 

  • Hosseinirad SM, Ali Mohammadi M, Basu SK, Pouyan AA (2014) LEACH routing algorithm optimization through imperialist approach. Int J Eng Trans A Basics 27(1):39–50

    Google Scholar 

  • Howard A, Mataric MJ, Sukhatme GS (2002) Mobile sensor network deployment using potential fields: a distributed, scalable solution to the area coverage problem. In: Proc. 6th Int. Symp. Distrib. Auton. Robot. Syst., vol 5, pp 299–308

  • Hussain MA, Khan P, Sup K (2009) WSN research activities for military application. In: 11th international conference on advanced communication technology, 2009, vol 1. ICACT 2009, pp 271–274

  • Javaid N, Waseem M, Khan ZA, Qasim U, Latif K, Javaid A (2013) ACH: away cluster heads scheme for energy efficient clustering protocols in WSNs. In: 2013 Saudi international electronics, communications and photonics conference, SIECPC 2013

  • Jihoon K, Daeyoung K, Youngsoo K (2007) RSS self-calibration protocol for WSN localization. In: 2007 second international symposium on wireless pervasive computing, pp 181–184

  • Loscri V, Morabito G, Marano S (2006) A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In: IEEE vehicular technology conference, 2006, vol 3, pp 1809–1813

  • Mainwaring A, Culler D, Polastre J, Szewczyk R, Anderson J (2002) Wireless sensor networks for habitat monitoring. In: Proceedings of the first ACM international workshop on Wireless sensor networks and applications—WSNA ’02, p 88

  • Mhatre V, Rosenberg C (2004) Design guidelines for wireless sensor networks: communication, clustering and aggregation. Ad Hoc Netw 2(1):45–63

    Article  Google Scholar 

  • Pantazis NA, Nikolidakis SA, Vergados DD (2013) Energy-efficient routing protocols in wireless sensor networks: a survey. IEEE Commun Surv Tutor 15(2):551–591

    Article  Google Scholar 

  • Pino-Povedano S, Arroyo-Valles R, Cid-Sueiro J (2014) Selective forwarding for energy-efficient target tracking in sensor networks. Signal Process 94(1):557–569

    Article  Google Scholar 

  • Poduri S, Sukhatme GS (2004) Constrained coverage for mobile sensor networks. In: IEEE international conference on robotics and automation, 2004. Proceedings. ICRA ’04, vol 1, pp 165–171

  • Qing L, Zhu Q, Wang M (2006) Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks. Comput Commun 29(12):2230–2237

    Article  Google Scholar 

  • Services PE et al (2014) Multi-objective evolutionary algorithms for energy-efficiency in heterogeneous wireless sensor networks, vol 11, no 3

  • Singh SK, Kumar P, Singh JP (2017) A survey on successors of LEACH protocol. IEEE Access 5:4298–4328

    Article  Google Scholar 

  • Smaragdakis G, Matta I, Bestavros A (2004) SEP: a stable election protocol for clustered heterogeneous wireless sensor networks. In: Second Int. Work. Sens. Actor Netw. Protoc. Appl., pp 1–11

  • Sohn I, Lee J-H, Lee SH (2016) Low-energy adaptive clustering hierarchy using affinity propagation for wireless sensor networks. IEEE Commun Lett 20(3):558–561

    Article  Google Scholar 

  • Tyagi S, Kumar N (2013) A systematic review on clustering and routing techniques based upon LEACH protocol for wireless sensor networks. J Netw Comput Appl 36(2):623–645

    Article  Google Scholar 

  • Wang Z, Bulut E, Szymanski BK (2010) Distributed energy-efficient target tracking with binary sensor networks. ACM Trans Sens Netw 6(4):1–32

    Article  Google Scholar 

  • Wang J, Zheng L, Zhao L, Tian D (2012) LEACH-based security routing protocol for WSNs. Adv Intell Soft Comput 169:253–258

    Google Scholar 

  • Wang J, Zhang Z, Xia F, Yuan W, Lee S (2013) An energy efficient stable election-based routing algorithm for wireless sensor networks. Sensors 13(11):14301–14320

    Article  Google Scholar 

  • Yick J, Mukherjee B, Ghosal D (2008) Wireless sensor network survey. Comput Netw 52(12):2292–2330

    Article  Google Scholar 

  • Yu M, Leung K, Malvankar A (2007) A dynamic clustering and energy efficient routing technique for sensor networks. IEEE Trans Wirel Commun 6(8):3069–3079

    Article  Google Scholar 

  • Zheng J, Jamalipour A (2008) Wireless sensor networks: a networking perspective. IEEE, Hoboken

    MATH  Google Scholar 

  • Zhu Y, Song J, Dong F (2011) Applications of wireless sensor network in the agriculture environment monitoring. Procedia Eng 2011(16):608–614

    Google Scholar 

  • Zou Y, Chakrabarty K (2003) Sensor deployment and target localization based on virtual forces. In: Twenty-Second Annu. Jt. Conf. IEEE Comput. Commun., vol 2, no. C, pp 1293–1303

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Correspondence to Rahul Priyadarshi.

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Priyadarshi, R., Soni, S.K. & Nath, V. Energy efficient cluster head formation in wireless sensor network. Microsyst Technol 24, 4775–4784 (2018). https://doi.org/10.1007/s00542-018-3873-7

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  • DOI: https://doi.org/10.1007/s00542-018-3873-7

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