Balanced data gathering strategy based on ant colony algorithm in WSNs
by Chuan-Yun Wang; Feng Tian; En-Yan Sun
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 5, No. 4, 2012

Abstract: In order to gather the monitoring data with load and energy consumption balance in wireless sensor networks (WSNs) and prolong its lifetime, a data gathering strategy was proposed based on ant colony algorithm. After the sensor nodes were divided into many sub-sets, the global updating of pheromone was achieved in the course of transmission of packet, which was mapped to global ant, and local updating was made to obtain new information of neighbours; then the heuristic function was constructed with energy, distance and hops. According to pheromone track and heuristic information, the packet independently chose the next hop node without the establishment and maintenance of the routing tables. The simulation results show that the algorithm can effectively balance network load and energy consumption, and induce 9.4% additional energy consumption, what has little influence on the network energy efficiency.

Online publication date: Sun, 11-Jan-2015

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 Wireless and Mobile Computing (IJWMC):
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