By Topic

Maximum lifetime routing in wireless sensor network using realistic battery model

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)
K. Padmanabh ; Dept. of E& ECE, Indian Inst. of Technol., Kharagpur, India ; R. Roy

Capacity of the battery is used to be specified in Ampere-Hour. So far, while designing a routing protocol people are considering this capacity of battery like water in a tank. That is, if C is the capacity of tank and water drawn out of it with rate R then total time to evacuate is T=C/R. On contrary, the batteries show rate capacity effect. That is, capacity of a battery decreases with increase in discharge current. Thus lifetime of the battery also decreases significantly with increase in discharge current. To the best of our knowledge this effect of a realistic battery model has never been considered while designing a routing protocol. Thus practically a battery gives a lifetime that is very less in comparison to what is theoretically estimated. We are presenting here two types of power aware algorithms to overcome this issue. In our algorithm rate capacity effect, minimum drain rate and minimum transmission power constraints are exploited altogether as a metric to design routing protocol, which minimizes rate capacity effect and ultimately gives improved lifetime of the sensor network

Published in:

2006 Workshop on High Performance Switching and Routing

Date of Conference:

0-0 0