News Updates Monday 22nd Oct 2018 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of Sept/Oct 2018 extended to 25 Oct 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Energy Efficient and Delay Based on PSO with LST Algorithm for Wireless Sensor Network


Author : Pooja Singh and Raghav Yadav

Pages : 2094-2100
Download PDF
Abstract

Wireless sensor networks can provide low cost solution to verity of real-world problems. Sensors are low cost tiny devices with limited storage, computational capability and power. In wireless sensor network’s sensors are randomly deployed in the sensor field which brings the coverage problem and limited energy resources. Hence energy and coverage problem are very scarce resources for such sensor systems. This research focuses on the maximization of network lifetime which has become a critical issue in sensor networks and also tackles with the problem of time delay in the transmission of the information. This research work gives the combination of PSO based algorithm (gives better performance in the term of energy efficiency and data security) and cluster based Least Spanning Tree algorithm (gives good energy efficiency and very less time delay), which are very effective alone for WSN, and also obtain life of sensor node and data transmission by LST based PSO algorithm. These techniques effectively overcome the problems of low energy and coverage of sensor range. For the observation of the analysis of the energy data of the sensors and the mathematical calculation of the data transmission and input-output energy, MATLB-2013 tool was used. After the observation of the results analysed by the MATLAB tools, it found that the combination of the LST based PSO algorithm was better performed than PSO algorithm and cluster based Least Spanning Tree algorithm alone and it was also performed better than other types of advanced energy efficient algorithm.

Keywords: Wireless Sensor Network, coverage optimization; discrete PSO; non-convex region, grid.

Article published in International Journal of Current Engineering and Technology, Vol.6, No.6 (Dec-2016)

Call for Papers
  1. IJCET- Sept/Oct 2018 Issue

    Submission Last Date
    25 Oct
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Dec-2018
  5. IJAIE-Dec-2018
  6. IJCSB-Dec-2018
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2018 INPRESSCO® All Rights Reserved