Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 5, Issue: 04)
Article Information:

Optimal Sink Position Selection Algorithm for Wireless Sensor Networks

Wenbo Zhang, Lingjiao Yuan, Xiaobo Tan and Hai Zhao
Corresponding Author:  Wenbo Zhang 

Key words:  Multiple coverage, optimal selection algorithm, sink location, wireless sensor network, , ,
Vol. 5 , (04): 1390-1396
Submitted Accepted Published
July 09, 2012 August 08, 2012 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.
Abstract PDF HTML
  Cite this Reference:
Wenbo Zhang, Lingjiao Yuan, Xiaobo Tan and Hai Zhao, 2013. Optimal Sink Position Selection Algorithm for Wireless Sensor Networks.  Research Journal of Applied Sciences, Engineering and Technology, 5(04): 1390-1396.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved