By Topic

Distributed Power Control Algorithm with Multi-QoS Constraints for 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

2 Author(s)
Yang Hai-Bo ; College of Information Science and Technology, Zhejiang, Shuren University, Hangzhou, China, 310015. ; Cai Wen-Yu

In this paper, we present a Distributed Power Control algorithm with Multi-QoS Constraints (MQDPC) for WSNs (wireless sensor networks). Energy consumption, reliability and QoS provisioning are three key objectives in WSNs. In MQDPC algorithm, each sensor node independently builds its local maximum QoS topology according to the local information collected from its one-hop neighbors using MST (minimum spanning tree) scheme, therefore MQDPC algorithm is a fully distributed algorithm. The QoS metrics considered in this algorithm comprise node residual energy, end-to-end delay and link loss ratio. We analytically prove that MQDPC algorithm preserves the network QoS topology connectivity and show that MQDPC algorithm is scalable to large-scale wireless sensor network and multidimensional QoS metrics. The simulation results demonstrate that MQDPC algorithm dynamically builds network topology when wireless sensor network topology status varies over the time, and MQCTC algorithm can efficiently prolong the network life span and improve QoS performance while meeting certain QoS requirements.

Published in:

Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on

Date of Conference:

6-8 April 2008