An efficient energy lifetime enhancement using node balancing approach

  • Authors

    • Laxmaiah Kocharla
    • K Raghava Rao
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10593
  • WSN, Network Analysis, Threshold Energy, Matrix Formulation, Energy Lifetime.

  • Abstract

    Wireless sensor network (WSN) is the cutting edge communication entity, which is adopted by various platform such as IoT and other secure wireless area. There are many advantages while dealing with such system which can provide an efficient communication over remove area. Involvement of multiple node in the communication occurred while sending a packet to destination. An efficiency in packet transfer is required which is in terms of shortest path, managing load on each node and finally finding efficiency in data transfer. Balancing the node and its energy is important aspect which help in preventing complete network and make it energy efficient. Previously given solution find its ability in proper communication but lacking in enhancing overall network lifetime. In this paper a mobile threshold energy route optimization using Matrix formulation approach is presented. The Given proposed solution is implemented on Ubuntu Platform using NS2 Simulator. Observed result find enhancement in PDR, Throughput and Less Overhead.

  • References

    1. [1] Laxmaiah.Kocharla and 2Dr. Raghava Rao, K “Equal Workload Distribution Tree Construction Algorithm For Wireless Sensor Networksâ€,International Journal of Current Research Vol. 6, Issue, 03, pp.5684-5691, March, 2014.

      [2] Joydeep Banerjee & Mrinal KantiNaskar, Utpal Biswas in paper “Leader Selection in Wireless Sensor Networks An Energy Efficient Approachâ€2014 International Conference onControl, Instrumentation,Energy,and,Communication(CIEC).

      [3] Rahul C. Shah and Jan M. Rabaeyâ€Energy Aware Routing for Low Energy Ad Hoc Sensor Networksâ€F29601-99- 1- 0169 entitled, "Communication/Computation Pico nodes for Sensor Networksâ€.

      [4] Sonali Sen Baidya and Abhishek Baidya â€Energy Conservation in a wireless Sensor Network by an efficient Routing Mechanism†2015 International conference on communication, Information & Computing Technology.

      [5] Laxmaiah.Kocharla and 2Dr. Raghava Rao, K,†Equal Workload Distribution Tree Construction Algorithm for Wireless Sensor Networksâ€, International Journal of Current Research Vol. 6, Issue, 03, pp.5684-5691, March 2014.

      [6] Mo Li, Yunhao Liu, 2009. Underground coal mine monitoring with wireless sensor networks, ACM Transactions on Sensor Networks (TOSN), v.5 n.2, p.1-29.

      [7] Charu Gupta and Pankaj Sharma “Implementation of Energy Aware Routing Protocol for Mobile Ad Hoc Networks†2013, IJARCSSE.

      [8] YI Gao & Wei Dong “COPE: Improving Energy Efficiency with Coded Preambles in Low Power Sensor Networks†2015, IEEE Transaction and Industrial Informatics.

      [9] Nguyen Duy Tan and Nguyen Dinh Viet “Sleep scheduled and Tree –Based Clustering Routing Protocol for Energy –Efficient in Wireless Sensor Networks†2015, International Conference on Computing & Communication Technologies.

      [10] N. Kumar and Dr. C. Suresh Gnana Dhass “Power Aware Routing Protocols in Mobile Adhoc Networks, 2012 IJARCSSE.

      [11] Shital Vaibhavrajgharge and Srinu Dharavath “Virtualization of Wireless Sensor Network with Efficient Power Saving Scheme†2015, International Conference on Communication, Information & Computing Technology(ICCICT).

      [12] D. SylviaandJeevaaKatiravan “Trust based Routing in Wireless Ad Hoc Networks under Adverse Environmentâ€International Journal of Computer Applications (0975 – 8887)Volume 136 – No.10, February 2016.

      [13] International Journal on applications of graph theory in wireless ad hoc networks and sensor networks (GRAPH- HOC) Vol.4, No.1, March 2012.

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  • How to Cite

    Kocharla, L., & Raghava Rao, K. (2018). An efficient energy lifetime enhancement using node balancing approach. International Journal of Engineering & Technology, 7(2.7), 262-265. https://doi.org/10.14419/ijet.v7i2.7.10593

    Received date: 2018-03-25

    Accepted date: 2018-03-25

    Published date: 2018-03-18