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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2012 . Peer-reviewed
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Performance of Termite-Hill Routing Algorithm on Sink Mobility in Wireless Sensor Networks

Authors: Zungeru, Adamu M; Ang, Li-minn; Seng, Kah Phooi;

Performance of Termite-Hill Routing Algorithm on Sink Mobility in Wireless Sensor Networks

Abstract

High efficient and energy-aware routing is an important issue for the design of resource constrained environments like Wireless Sensor Networks (WSNs). Many protocols have been developed for WSN that try to overcome the constraints that characterized this type of networks. Termite based routing protocols can add a significant contribution to assist in the maximization of the network lifetime without performance degradation. But this is only possible by means of an adaptable and balanced algorithm that takes into account the main constraints of WSN. This paper presents a biological inspired self-organized routing protocol for WSN which is based on termite colony optimization metaheuristic termed Termite-hill. The main objective of the proposed algorithm is to efficiently relay all the traffic destined for the sink, and also balance the network energy. The results of our extensive experiments on Routing Modeling Application Simulation Environment (RMASE) demonstrated that with sink mobility, our proposed routing algorithm was able to balance the network traffic load and prolong the network lifetime without performance degradation.

Country
Australia
Keywords

Artificial intelligence, Performance degradation, Network Throughput, 000, Energy Efficiency, Termite-hill, Routing Algorithm, Routing algorithms, Wireless sensor networks, Routing protocols, Engineering, Swarm Intelligence, Termite hill, Network traffic loads, Wireless Sensor NetworksModeling applications, Wireless sensor network (WSNs), Network Lifetime, Algorithms

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
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    Top 10%
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Average
Green
Related to Research communities
Energy Research