Cluster Based Data Gathering in Wireless Sensor Networks
Main Article Content
Abstract
Use of wireless sensor network for real life applications have rapidly increased. Since sensor nodes operate on batteries, energy
efficient mechanisms for gathering sensor data are indispensable to prolong the lifetime of a sensor network as long as possible. A sensor node
consumes energy: observing its surroundings, transmitting data, and receiving data. Energy consumption is one of the major concerns in wireless
sensor networks since it impacts the network lifetime. Clustering is one of the key techniques which reduce energy consumption is wireless
sensor networks. In this paper we proposed an information similarity concepts with optimal clustering algorithm for partition the adjacent nodes
which will sense similar target into one cluster, thus cluster heads are elected. Our method can effectively reduce redundant data transmission
and the whole energy consumed in the network. Our simulation results show that our clustering mechanism reduced the energy consumption and
prolong the life time of network.
Â
Â
Keywords: Wireless sensor network, clustering algorithm, Information similarity. Data aggregation
Downloads
Article Details
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.