By Topic

Adaptive Determination of Data Granularity for QoS-Constraint Data Gathering 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
$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

1 Author(s)
Jun-Zhao Sun ; Dept. of Electr. & Inf. Eng., Univ. of Oulu, Oulu, Finland

In a wireless sensor network, data collection algorithm has to be designed to extend the lifetime of sensors to the best extent and at the same time keep the data accuracy to a certain level. This paper presents a novel data gathering algorithm for continuous query in wireless sensor networks. In particular, the problem of adaptive determination of data granularity for QoS-constraint query execution is address. Application specifies its QoS requirements with the query. Then, each node can choose the optimum data granularity for local data collection and transmission. The proposed algorithm is verified and the impact of and tradeoff between various design parameters are analyzed.

Published in:

Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on

Date of Conference:

7-9 July 2009