Routing in wireless sensor network based on soft computing technique | Zendy

Samira Kalantari | Zendy; Amiri besheli Mohsen | Zendy; Sam Daliri Zeinab | Zendy; Shamshirb Shahaboddin | Zendy; Shing Ng Liang | Zendy

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Routing in wireless sensor network based on soft computing technique

Author(s) -

Samira Kalantari,

Amiri besheli Mohsen,

Sam Daliri Zeinab,

Shamshirb Shahaboddin,

Shing Ng Liang

Publication year - 2011

Publication title -

scientific research and essays

Language(s) - English

Resource type - Journals

ISSN - 1992-2248

DOI - 10.5897/sre10.306

Subject(s) - computer science , wireless sensor network , geographic routing , routing (electronic design automation) , node (physics) , soft computing , distributed computing , computer network , key distribution in wireless sensor networks , fuzzy logic , hierarchical routing , feature (linguistics) , key (lock) , wireless network , dynamic source routing , routing protocol , wireless , artificial intelligence , engineering , telecommunications , structural engineering , linguistics , philosophy , computer security

Wireless sensor networks consist of a large number of sensor nodes having limited power. The most important feature of these networks is the presence of dynamic topology which will lead to the mobility of the nodes. This mobility requires a routing capable of adapting to these changes. Despite the power restriction in these networks, the purpose in routing algorithm is not to find the shortest route; rather it is the power of each node which constitutes one of the most important issues. In this article, we have used soft computing techniques for routing in the network. The results obtained show that the combined method based on soft computing as compared to previous methods some what improves the minimalization of used power.

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