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Sensor Networks Routing
Author(s) -
Mahasweta Mitra,
M. Santhi,
M V P Kumar,
P. R. Sudha
Publication year - 2010
Publication title -
computer and information science
Language(s) - English
Resource type - Journals
eISSN - 1913-8997
pISSN - 1913-8989
DOI - 10.5539/cis.v3n4p200
Subject(s) - computer science , wireless sensor network , cluster analysis , software deployment , energy consumption , computer network , upstream (networking) , routing protocol , routing (electronic design automation) , distributed computing , real time computing , global positioning system , cluster (spacecraft) , efficient energy use , transmission (telecommunications) , telecommunications , ecology , machine learning , electrical engineering , biology , engineering , operating system

In order to provide load balancing in clustered sensor deployment, the upstream clusters (near the BS) are kept smaller in size as compared to downstream ones (away from BS). Moreover, geographic awareness is also desirable in order to further enhance energy efficiency. But, this must be cost effective, since most of current location awareness strategies are either cost and weight inefficient (GPS) or are complex, inaccurate and unreliable in operation.

This paper presents design and implementation of a Load Balanced (LBA) Clustering Protocol for Wireless Sensor Networks. A mathematical formulation is provided for determining the number of sensor nodes in each cluster. This enables uniform energy consumption after the multi-hop data transmission towards BS. Either the sensors can be manually deployed or the clusters be so formed that the sensor are efficiently distributed as per formulation. The latter strategy is elaborated in this contribution. Methods to provide static clustering and custom cluster sizes with location awareness are also provided in the given work. Finally, low mobility node applications can also be implement the proposed work.

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