By Topic

A New Energy-Balanced Data Aggregation Scheme 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

4 Author(s)
Bista, R. ; Dept. of Comput. Eng., Chonbuk Nat. Univ., Chonju, South Korea ; Yong-ki Kim ; Young-Ho Choi ; Jae-Woo Chang

For wireless sensor networks (WSNs), how to design routing protocols is very important to gather data efficiently so that the life of the network can be prolonged. A usual concept to collect data by a sink node is to transfer data from sensor nodes to the sink node by multi-hop. However, it gives rise to two problems. The first one is the hotspot problem, in which the sensor nodes closer to the sink node run out of energy sooner than other nodes. As a result, the network loses its service ability, regardless of a large amount of residual energy of the other nodes. The second one is that the network generates unnecessary traffic during data transmission for choosing a proper data sending path. To resolves the problems, we, in this paper, propose a new energy-balanced data aggregation scheme in WSNs. The proposed scheme pre-determines a set of paths and runs them in round-robin fashion so that all the nodes can participate in the workload of gathering data and transferring them to the sink node. With simulation results, we show that our scheme is more energy efficient and hence it can prolong the life time of the network than the existing schemes directed diffusion and hierarchical data aggregation (HDA).

Published in:

Computational Science and Engineering, 2009. CSE '09. International Conference on  (Volume:2 )

Date of Conference:

29-31 Aug. 2009