An approach to mitigating the premature death of the battery of sensor node

  • Authors

    • Satyanarayana Chanagala RCERT, Chandrapur
    • Z J.Khan RCERT, Chandrapur
    2018-06-23
    https://doi.org/10.14419/ijet.v7i3.12853
  • Battery, Discharge Efficiency, Lifetime, Sampling Interval, Sensor Node, Wireless Sensor Networks.

  • Abstract

    The prime objective of this paper is to investigate the impact of the sampling interval, which is one of the sensor node parameters, on the battery life of sensor node. An improper selection of sampling interval will lead to pronounced recovery effect which leads to premature death of the battery of sensor node. The suggested approach used in this work has achieved a significant lifetime improvement of the battery of sensor node.

  • References

    1. [1] M. Cardei and D. Du. (2005), "Improving wireless sensor network lifetime through power aware organization," ACM Wireless Networks, volume11.

      [2] Yang Yu, Victor Prasanna, and Bhaskar Krishnamacharya. (2006), "Energy Minimization for Real-Time data gathering in wireless sensor Networks," IEEE Transactions on wireless communications, volume 5, No.11.

      [3] Hai Liu, Xiaohua Jia, Peng-Jun Wan, Chih-Wei Yi, S.Kami Makki, and Niki pissinou.(2007), “Maximizing Lifetime of sensor surveillance systems,†IEEE/ACM Transactions on Networking, volume 15, Number 2. https://doi.org/10.1109/TNET.2007.892883.

      [4] Suhil K.Prasad, Akshaya Dhawan, (2007), "Distributed Algorithms for the lifetime of wireless sensor networks based on dependencies among cover sets," Springer Berlin Heidelberg.

      [5] Stefano Basagni, Alessio carsi, Emanuel Melachrinoudis, Chiara Petrioli, Z.Maria wang. (2008) "Controlled sink mobility for prolonging wireless sensor networks lifetime," Springer Science +Business Media, LLC 2007, Wireless network, volume 14, pp. 831_858.

      [6] Cunqing Hua and Tak-Shing Peter Yun, (2008), “Optimal Routing and Data Aggregation for Maximizing lifetime of wireless sensor Networks, IEEE/ACM Transactions on Networking,†Volume 16, Number 4.

      [7] Chao Song, Ming Liu, Jiannong Cao, Yuan Zheng, Haigang Gong, and Guihai Chen,(2009) "Maximizing network lifetime based on transmission range adjustment in wireless sensor networks," Computer Communications- The International Journal for the Computer and Telecommunications industry. Elsevier, pp. 1316-1325. https://doi.org/10.1016/j.comcom.2009.02.002.

      [8] HenguLong, YongpanLiu, Yiqun Wang, Robert P.Dick, and Huazhong Yong, (2009), "Battery allocation for wireless sensor network lifetime maximization under cost constraints", ICCAD-09, Sanjose, California, USA.

      [9] Kobi Cohen and Amir Leshen, (2010), “A Time-varying opportunistic approach to lifetime maximization of wireless sensor networks,†IEEE Transactions on signal processing, Volume 58, Number 10, pp. 5307-5319. https://doi.org/10.1109/TSP.2010.2052459.

      [10] Youngsang Yun, Xia Y,(2010), "Maximizing the lifetime of wireless sensor networks with mobile sink in Delay-Tolerant applications," IEEE Transactions on Mobile Computing, Volume 9, issue 9, pp. 1308-1318.

      [11] Ines Slama, Bodii Jouaber, Djamal Zeghlache, (2010), "Topology control and Routing in large-scale wireless sensor networks," Scientific Research, wireless sensor network, pp. 584-598. https://doi.org/10.4236/wsn.2010.28070.

      [12] Ing-Ray Chen, AnhPhan Speer, Mohamed Eltoweissy.(2011), "Adaptive fault-tolerant QoS Control Algorithms for Maximizing system lifetime of Query-based wireless sensor networks," IEEE Transactions on Dependable and secure computing, Volume 8, Number 2.

      [13] Ying Lin, Jun Zhang, Henry Shu-Hung Chung, Wai Huang Ip, Yun Li, and Yu-Hui Shi".(2011),"Ant Colony optimization approach for maximizing the lifetime of Heterogeneous wireless sensor networks," IEEE Transactions on Systems, MAN, and Cybernetics Part C: Applications and Reviews, 42(3), pp. 408-420. https://doi.org/10.1109/TSMCC.2011.2129570.

      [14] Stefano Basagni, Alessio Carosi, Chiaro petrioli, Cynthia A. Phillips, (2011),“Coordinated and controlled mobility of multiple sinks for maximizing the lifetime of wireless sensor networks,†ACM, Volume 17, issue 3, pp.759-778. https://doi.org/10.1007/s11276-010-0313-8.

      [15] Dijun Luo, Xiaojun, Xiaobing Wu, Guihai Chen, (2011),"Maximizing lifetime for shortest path aggregation Tree in wireless sensor networks," IEEE INFOCOM, pp: 1566-1574.

      [16] Kai Lin, Min Chen, Sherali Zeodally, Joel J. P. C. Rorigues, (2011),"Balancing energy consumption with mobile agents in wireless sensor networks, " The International Journal of Grid Computing and science-Elsevier, Volume 28, Issue 2, pp. 446-456.

      [17] Sengupta s. Das, Nasir M, (2012),"An evolutionary multiobjective sleep-scheduling scheme for differentiable coverage in wireless sensor networks," IEEE Transactions on Systems, MAN, and Cybernetics, Part C: Applications and Reviews, pp. 1093-1102.

      [18] Zichan Xu, Weifa Liang, Yinlong Xu,(2012),"Network Lifetime maximization in delay-tolerant sensor networks with a mobile sink," 8th IEEE International conference on distributed computing in sensor systems, pp: 09-16.

      [19] Liang Zhang, Shigang Chan, Ying Jian, Yuguang Fang, Zhen Mo.(2013),"Maximizing lifetime vector in wireless sensor networks," IEEE/ACM Transactions on Networking, Volume 21, Number 4, pp. 1187-1200. https://doi.org/10.1109/TNET.2012.2227063.

      [20] Ying Peng, Zi Li, Daji Qiao, Wensheng Zhang, (2013), “IC2: A Holistic approach to prolong the sensor network lifetime,†IEEE INFOCOM, Turin, Italy, April 14-19.

      [21] Feng Shan, Weifa Liang, Jun Luo, Xiaojun Shen, (2013), “Network lifetime maximization for time-sensitive data gathering in wireless sensor networks,†Computer Networks 57 Elsevier, pp. 1063-1077. https://doi.org/10.1016/j.comnet.2012.12.005.

      [22] Bilal Abu Bakr, Leszek T. Lilien, (2014), "Extending lifetime of wireless sensor networks by the management of spare nodes," The second international workshop on communications and sensor networks-Comsense-2014, Procedia computer science 34, Science Direct, Elsevier, pp. 493-498.

      [23] Ali Ghaffari, (2014), "An energy-efficient routing protocol for wireless sensor networks using A-star algorithm," Journal of applied research and technology, Volume 12, Elsevier, pp. 815-822, August 2014.

      [24] Satyanarayana C. and Zafar Jawed Khan,(2016),"An approach to maximize the performance of wireless sensor network for sampling time less than the optimum value", Fifth International Conference on Research Methodologies in Electronic Devices and Circuits - EDC 2016, pp. 51-56.

      [25] P. K. Batra and K. Kant, “LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks,†Wireless Networks, vol. 22, no. 1, 2016, pp.49–60. https://doi.org/10.1007/s11276-015-0951-y.

      [26] D. Jia, H. Zhu, S. Zou, and P. Hu, “Dynamic cluster head selection method for the wireless sensor network," IEEE Sensors Journal, vol. 16, no. 8, 2016, pp. 2746–2754. https://doi.org/10.1109/JSEN.2015.2512322.

      [27] X. Meng, X. Shi, Z. Wang, S. Wu, and C. Li, “A grid-based reliable routing protocol for wireless sensor networks with randomly distributed clusters,†Ad Hoc Networks, vol. 51, 2016, pp. 47–61. https://doi.org/10.1016/j.adhoc.2016.08.004.

      [28] Zafar Jawed Khan and Satyanarayana Chanagala, “A Transmission Power level aware approach to maximize the Lifetime of Wireless Sensor Networkâ€, WJERT, 2017, Volume 3, Issue 5, pp.336-350.

      [29] Elma Zanaj, Indrit Enesi, Blerina Zanaj, "Energy-aware algorithms for Wireless Sensor Networksâ€, Vol. 105, 2017, Elsevier, pp. 105-110.

      [30] K. P. Sharma and T. P. Sharma, “Energy-hole avoidance and lifetime enhancement of a WSN through load factor,†Turkish Journal of Electrical Engineering & Computer Sciences, vol. 25, no. 2, 2017, pp. 1375–1387. https://doi.org/10.3906/elk-1508-162.

  • Downloads

  • How to Cite

    Chanagala, S., & J.Khan, Z. (2018). An approach to mitigating the premature death of the battery of sensor node. International Journal of Engineering & Technology, 7(3), 1014-1018. https://doi.org/10.14419/ijet.v7i3.12853

    Received date: 2018-05-15

    Accepted date: 2018-06-08

    Published date: 2018-06-23