Lifetime Optimization in Wireless Sensor Networks Using FDstar-Lite Routing Algorithm

Commonly in Wireless Sensor Networks (WSNs), the biggest challenge is to make sensor nodes that are energized by low-cost batteries with limited power run for longest possible time. Thus, energy saving is indispensible concept in WSNs. The method of data routing has a pivotal role in conserving the...

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Bibliographic Details
Published in:International journal of computer science and information security 2016-03, Vol.14 (3), p.46-46
Main Authors: Alshawi, Imad S, Alalewi, Ismaiel O
Format: Article
Language:English
Subjects:
Algorithms
Communication
Computer networks
Data transmission
Delay
Energy consumption
Fuzzy logic
Methods
Optimization
Remote sensors
Routing (telecommunications)
Sensors
Traffic congestion
Wireless networks
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Summary:Commonly in Wireless Sensor Networks (WSNs), the biggest challenge is to make sensor nodes that are energized by low-cost batteries with limited power run for longest possible time. Thus, energy saving is indispensible concept in WSNs. The method of data routing has a pivotal role in conserving the available energy since remarkable amount of energy is consumed by wireless data transmission. Therefore, energy efficient routing protocols can save battery power and give the network longer lifetime. Using complex protocols to plan data routing efficiently can reduce energy consumption but can produce processing delay. This paper proposes a new routing method called FDstarLite which combines Dstar-Lite algorithm with Fuzzy Logic. It is used to find the optimal path from the source node to the destination (sink) and reuse that path in such a way that keeps energy consumption fairly distributed over the nodes of a WSN while reducing the delay of finding the routing path from scratch each time. Interestingly, FDstar-Lite was observed to be more efficient in terms of reducing energy consumption and decreasing end-to-end delay when compared with A-star algorithm, Fuzzy Logic, Dstar-Lite algorithm and Fuzzy A-star. The results also show that, the network lifetime achieved by FDstar-Lite could be increased by nearly 35%, 31%, 13% and 11% more than that obtained by A-star algorithm, Fuzzy Logic, Dstar-Lite algorithm and Fuzzy A-star respectively.
ISSN:1947-5500
DOI:10.6084/m9.figshare.3153868