By Topic

Tradeoff Between Throughput and Energy Consumption in Multirate 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
$31 $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)
Dongliang Xie ; State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China ; Wenping Wei ; Yu Wang ; Hongsong Zhu

In wireless networks, multirate capability will facilitate using channel resource and reducing the bit error rate effectively. Current contention-based MAC protocols, however, behave inefficiently in multirate situations, leading to the performance anomaly problem. This paper researches the throughput deterioration in multirate wireless sensor networks. Initially, this paper refers to the notion of fairness to solve the performance deterioration problem and demonstrates that the utility maximization of throughput will be achieved when each contending node receives an equal proportion of channel occupancy time. Besides, considering the intrinsic tradeoff between throughput optimization and energy consumption optimization, the paper converts the tradeoff to the regulation of single node's channel access probability, which is determined by node's data rate and energy level. Finally, based on the contention-based MAC algorithm, the paper proposes an improved MAC protocol. Simulation validates that different application demands between throughput and lifetime can be adjusted flexibly and efficiently by regulating the tradeoff factor in the algorithm.

Published in:

Sensors Journal, IEEE  (Volume:13 ,  Issue: 10 )