Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Research Journal of Applied Sciences, Engineering and Technology


Optimal Sink Position Selection Algorithm for Wireless Sensor Networks

1Wenbo Zhang, 1Lingjiao Yuan, 1, 2Xiaobo Tan and 2Hai Zhao
1Department of Information Science and Engineering, ShenYang Ligong University, Shenyang, 110159, China
2Department of Information Science and Engineering, Northeastern University, Shenyang, 110006, China
Research Journal of Applied Sciences, Engineering and Technology  2013  4:1390-1396
http://dx.doi.org/10.19026/rjaset.5.4878  |  © The Author(s) 2013
Received: July 09, 2012  |  Accepted: August 08, 2012  |  Published: February 01, 2013

Abstract

The Optimal Sink Position Selection Algorithm is proposed based on the maximum demands (OSPSA). In this algorithm the communication demands of the nodes and the communication failure probability between the nodes and the sinks are considered. The sinks multiply cover the key nodes to satisfy the maximum demands to improve the quality of service. Furthermore, the characteristics are analyzed in theory. Simulation experiments are conducted to analyze and compare the relationships between the failure probability, the coverage radius and the maximum coverage demands. Moreover the effects between the number and the maximum coverage demands and the effects between the coverage and the maximum coverage demands are also compared.

Keywords:

Multiple coverage, optimal selection algorithm, sink location, wireless sensor network,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved