DocumentCode
2893066
Title
A Cooperative Learning Scheme for Energy Efficient Routing in Wireless Sensor Networks
Author
Alwakeel, Sami S. ; Al-Nabhan, N.A.
Author_Institution
Comput. Eng. Dept., King Saud Univ., Riyadh, Saudi Arabia
Volume
2
fYear
2012
fDate
12-15 Dec. 2012
Firstpage
463
Lastpage
468
Abstract
Wireless sensor networks (WSNs) are gaining more interest in variety of applications. Of their different characteristics and challenges, network lifetime and efficiency are the most considered issues in WSN-based systems. The scarcest WSN´s resource is energy, and one of the most energy-expensive operations is route discovery and data transmission. This paper presents a novel design of a cooperative nodes learning scheme for cooperative energy-efficient routing (CEERA) in wireless sensor networks. In CEERA, nodes perform a cooperative learning in delivering data to the base station. The retransmission of packets is controlled through an address-based timer. CEERA achieves overhead reduction and energy conservation by controlling various parameters that affect the overall network efficiency. Performance results are evaluated using NS2 simulator and our own implemented event-driven simulation. The simulation results show that our algorithm minimizes the overall energy consumption of the WSN, extends network operational lifetime, and improves network efficiency and throughput.
Keywords
data communication; energy consumption; telecommunication network routing; wireless sensor networks; CEERA; WSN resource; WSN-based systems; cooperative learning scheme; data transmission; energy conservation; energy consumption; energy efficient routing; energy-expensive operations; network efficiency; route discovery; wireless sensor networks; Algorithm design and analysis; Base stations; Delay; Routing; Throughput; Transient analysis; Wireless sensor networks; Cooperative WSN Routing Algorithms; Energy Efficient Routing Algorithms; Sensors Cooperative Learning; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Applications (ICMLA), 2012 11th International Conference on
Conference_Location
Boca Raton, FL
Print_ISBN
978-1-4673-4651-1
Type
conf
DOI
10.1109/ICMLA.2012.143
Filename
6406779
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