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Suitable Node Deployment based on Geometric Patterns Considering Fault Tolerance in Wireless Sensor Networks

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 60 - Number 7
Year of Publication: 2012
Authors:
Mahdie Firoozbahrami
Amir Masoud Rahmani
10.5120/9708-4170

Mahdie Firoozbahrami and Amir Masoud Rahmani. Article: Suitable Node Deployment based on Geometric Patterns Considering Fault Tolerance in Wireless Sensor Networks. International Journal of Computer Applications 60(7):49-56, December 2012. Full text available. BibTeX

@article{key:article,
	author = {Mahdie Firoozbahrami and Amir Masoud Rahmani},
	title = {Article: Suitable Node Deployment based on Geometric Patterns Considering Fault Tolerance in Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {60},
	number = {7},
	pages = {49-56},
	month = {December},
	note = {Full text available}
}

Abstract

Wireless Sensor Networks (WSNs) consist of small power-constrained nodes with sensing, computation and wireless communication capabilities. These nodes are deployed in the sensing region to monitor especial events such as temperature, pollution, etc. They transmit their sensed data to the sink in a multi-hop manner. The sink is the interface between sensor nodes and the end-user. It is responsible for integrating the received data from sensors and delivered the requested data to the user. Node deployment is an important issue in WSNs and can be random or deterministic. A proper node placement can increase connectivity, coverage and lifetime of a WSN. In this paper a novel deployment is proposed in which nodes are placed on two Archimedean spirals that are nested (Nested Spirals). This pattern is five-coverage and five-connected. Analytical results show that our proposed pattern uses fewer nodes than other models such as triangle, square and hexagon. Simulation results also show that our model consumes less energy than other models, so its lifetime and fault tolerance is also higher than regular patterns.

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