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Abstract
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Article Information:
Cognitive Group Leader Selection Algorithm for Wireless Sensor Networks
Sujatha Moorthy and Raghuvel Subramaniam Bhuvaneswaran
Corresponding Author: Sujatha Moorthy
Submitted: July 24, 2014
Accepted: September 13, 2014
Published: December 25, 2014 |
Abstract:
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Wireless Sensor Networks (WSNs) have profound applications in diverse areas. Industrial monitoring and control is one of the main applications of WSNs. In order to improve the quality of service of the network while reporting sensed information to the base station, grouping is one of the best known strategies available. A Group Head (GH) present in each group helps in aggregation of information with that of the other group members before reporting to the base station. In many existing methods many group head selection algorithms based on residual energy or quality of service or other factors exist. In this study, we propose a Cognitive Group Leader Selection Algorithm (CGLSA) for the efficient working of grouped WSNs. CGLSA assesses each group for the requirement on the type of GH selection would enhance the operation of WSN. The efficiency of the proposed system is proven by the simulation in the network simulator.
Key words: Grouping, hierarchy, leader selection, quality of service, wireless sensor network, ,
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Cite this Reference:
Sujatha Moorthy and Raghuvel Subramaniam Bhuvaneswaran, . Cognitive Group Leader Selection Algorithm for Wireless Sensor Networks. Research Journal of Applied Sciences, Engineering and Technology, (24): 2403-2407.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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