Increasing the availability of wireless body sensor network is obligatory to monitor the patient inside and outside the hospital environment. Major amount of energy dissipated in the sensor node is through the enormous switching transitions in the transceiving unit, and hence, it becomes essential to minimize the switching transitions to prolong the lifetime of the network. Also, the packet holding cost in terms of energy influences the network lifetime to a greater extent. The novel energy-efficient framework (NEEF) approach provides a solution for lifetime problem and availability problem in the network. The subject is modeled as finite state machine with normal, abnormal and above normal states. The packet in the cluster head is transmitted once it reaches the threshold level. The critical packet is hoped through high energy node to ensure safe data communication. The framework is evaluated with Fail Safe Fault Tolerant algorithm. The lifetime enhancement is achieved through reducing the switching loss of the transceivers circuit. The NEEF provides extended lifetime and throughput and the framework also promotes improved half-life period. The first dead node in case of NEEF framework is high. The NEEF ensures high availability and extended lifetime.
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Kanagachidambaresan GR, SarmaDhulipala VR, Vanusha D, Udhaya MS (2011) Matlab based modeling of body sensor network using ZigBee protocol. In CIIT 2011. CCIS 250:773–776
Kanagachidambaresan GR, Chitra A (2015) Fail safe fault tolerant mechanism for wireless body sensor network (WBSN). Wirel Pers Commun 80(1):247–260. https://doi.org/10.1007/s11277-014-2006-6
Ameen MA, Nessa A, Kwak KS (2008) QoS issues with focus on wireless body area networks. In: Proceedings of ICCIT08: The 2008 Third International Conference on Convergence and Hybrid Information Technology. Washington, DC, pp 801–807
Kanagachidambaresan GR, Chitra A (2016) Thermal aware fail safe fault tolerant algorithm for wireless body sensor network (WBSN). Wirel Pers Commun 90(4):1935–1950
Qiao Y, Yan X, Matthews A, Fallon E, Hanley A, Hay G, Kearney K (2007) Handover strategies in multi-homed body sensor networks. In: Proceedings of the 2007 Information Technology and Telecommunications Conference. Dublin, pp 183–189
Braem B, Latre B, Blondia C, Moerman I, Demeester P (2009) Analyzing and improving reliability in multi-hop body sensor networks. Int J Adv Internet Technol 2:152–161
Linz T, von Krshiwoblozki M, Walter H (2010) Novel packaging technology for body sensor networks based on adhesive bonding. In: Proceedings of the 2010 International Conference on Body Sensor Networks. Biopolis, pp 308–314
Huang D-C, Lee J-H (2013) A dynamic N threshold prolong lifetime method for wireless sensor nodes. Math Comput Model 57(11–12):2731–2741
Chen M, Gonzalez S, Vasilakos A, Cao H, Leung CCM (2011) Body area networks: a survey. Mob Netw Appl. https://doi.org/10.1007/s11036-010-0260-8
Custodio V, Herrera FJ, Lopez G, Moreno JI (2012) A review on architectures and communication technologies for wearable health monitoring system. Sensors. https://doi.org/10.3390/s121013907
Hughes L, Wang X, Chen T (2012) A review of protocol implementation and energy efficient cross layer design for wireless body area networks. Sensors. https://doi.org/10.3390/s121114730
Jiang CJ, Shi WR, Xiang M, Tang XL (2010) Energy balanced unequal clustering protocol for wireless sensor network. J China Univ Posts Telecommun 17:94–99
Jiang FC, Huang DC, Yang C-T, Leu FY (2012) Lifetime elongation for wireless sensor network using queue-based approaches. J Supercomput 59(3):1312–1335
Du X, Xiao Y (2006) Energy efficient chessboard clustering and routing in heterogeneous sensor networks. Int J Wirel Mob Comput IJWMC 1(2):121–130
Mhatre V, Rosenberg CP, Kofman D et al (2005) A minimum cost heterogeneous sensor network with a lifetime constraint. IEEE Trans Mob Comput 1(1):4–15
Xiaojiang D, Guizani M, Xiao Y, Chen H-H (2007) Two tier secure routing protocol for heterogeneous sensor networks. IEEE Trans Wirel Commun 6(9):3395–3401
Polastre J, Hill J, Culler D (2004) Versatile low energy media access for wireless sensor networks. In: Proceedings SenSys’04, pp 95–107
Maheswar R, Jayaparvathy R (2011) Performance analysis of cluster based sensor networks using N-policy M/G/1 queueing model. Eur J Sci Res 58(2):177–188
Maheswar R, Jayaparvathy R (2012) Performance analysis of fault tolerant node in wireless sensor network. In: Third International Conference on Advances in Communication, Network, and Computing—CNC 2012. Springer, Berlin
Maheswar R, Jayaparvathy R (2010) Power optimization method for heterogeneous sensor network with finite buffer capacity. Int J Recent Trends Eng Technol 3(3):218–220
Jayarajan P, Maheswar R, Kanagachidambaresan GR (2017) Modified energy minimization scheme using queue threshold based on priority queueing model. Cluster Comput 22:12111–12118
Nageswari D, Maheswar R, Kanagachidambaresan GR (2018) Performance analysis of cluster based homogeneous sensor network using energy efficient N-policy (EENP) model. Cluster Comput 22:12243–12250
Jayarajan P, Kanagachidambaresan GR, Sundararajan TVP, Sakthipandi K, Maheswar R, Karthikeyan A (2018) An energy aware buffer management (EABM) routing protocol for WSN. J Supercomput. https://doi.org/10.1007/s11227-018-2582-4
The authors also would like to express their sincere thanks to Prof. Dr. Truong Khang Nguyen, Division of Computational Physics, Institute for Computational Science, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam for giving his value suggestion, comments and support to complete this work as effective.
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Malathy, S., Rastogi, R., Maheswar, R. et al. A novel energy-efficient framework (NEEF) for the wireless body sensor network. J Supercomput (2019). https://doi.org/10.1007/s11227-019-03107-x
- Hot Spot
- Energy hole
- Finite state machine (FSM)