Skip to main content

LA-Mobicast: A Learning Automata Based Mobicast Routing Protocol for Wireless Sensor Networks

Buy Article:

$113.00 plus tax (Refund Policy)


The spatiotemporal character of mobicast in sensor networks relates to obligation to deliver a message to all the nodes that will be present at time t in some geographic zone Z, where both the location and the shape of the delivery zone are the functions of time over some interval (tstart, tend). In this paper a learning automata based mobicast protocol for sensor networks to support applications which require spatiotemporal coordination has been proposed. The proposed protocol which we call it LA-Mobicast uses the shape and the size of the forwarding zone to achieve high predicted accuracy. The proposed protocol use learning automata to adaptively determine the location and the shape of the forwarding zone in such away that the same number of wake-up sensor nodes be maintained. The proposed protocol is a fully distributed algorithm which requires lesser communication overhead in determining the forwarding zone and the mobicast message forwarding overhead. In order to show the performance of the proposed protocol, computer simulations have been conducted and the results obtained are compared with the results obtained for five existing mobicast protocols. The results of comparison show that the proposed protocol outperforms existing mobicast protocols in terms of slack time, message exchange, node involved and guarantee percent.


Document Type: Research Article


Publication date: 2008-04-01

More about this publication?
  • The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more