Mobile data gathering using PSO and minimum covering spanning tree clustered WSN
by K. Vijayalakshmi; J. Martin Leo Manickam
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 8, No. 2, 2018

Abstract: In wireless sensor networks (WSN), generally sensors closest to the sink or base station tend to deplete their battery energy faster than other sensors and create an energy hole around the sink. In order to overcome this problem, a mobile data gathering using PSO and minimum covering spanning tree (MDG-PSO-MCST) is proposed. In this technique, multiple sensors are arranged to form clusters. Two SenCars with multiple antennas are deployed in the cluster location and space division multiple access (SDMA) technique is applied for data gathering with energy efficiency. The anchor points are selected for intermediate data collection based on the connectivity and node degree, node compatibility and the distance between the sensors of two adjacent clusters parameters using particle swarm optimisation (PSO) technique. The visiting tour of each Sencars among the selected anchors is performed using the MCST algorithm. By simulation results, we show that the proposed technique minimises the energy consumption and delay, and enhances the network efficiency.

Online publication date: Fri, 01-Jun-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Mobile Network Design and Innovation (IJMNDI):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com