By Topic

GLB-DMECR: Geographic Location-Based Decentralized Minimum Energy Consumption Routing in Wireless Sensor Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Huifeng Hou ; Institute of Information Science and Technology, Zhengzhou, China ; Xiangwen Liu ; Hongyi Yu ; Hanying Hu

Energy efficient routing is an important measure to promote the energy efficiency of wireless sensor networks (WSN). In this paper, we proposed a minimum energy consumption (MEC) routing algorithm for WSN, GLB-DMECR. This algorithm exploits the utility of sensor nodes’ geographical location information to calculate the ideal MEC route and use the ideal MEC path to guide the routing procedure, thus to find an practical MEC path. Moreover, GLB-DMECR adopts a localized and decentralized routing decision mechanism and has good scalability and stability, which are more suitable for some special characters of WSN such as free of centralized control, nodes’ vulnerability to failure, large network dimension, and etc. The implementation of GLB-DMECR is relatively simple, and it has been verified by simulation that GLB-DMECR outperforms or equivalent to many other present algorithms in MEC performance under wide network circumstance. Therefore, it will have bright future in WSN.

Published in:

Sixth International Conference on Parallel and Distributed Computing Applications and Technologies (PDCAT'05)

Date of Conference:

05-08 Dec. 2005