Research Article
Lifetime measure of dense and sparse topology sensor network in structural health monitoring
@ARTICLE{10.4108/eai.28-6-2017.152752, author={M. E. Haque and M. A. Hannan and M. F. Hossain and M. M. Islam and M. J. Abedin}, title={Lifetime measure of dense and sparse topology sensor network in structural health monitoring}, journal={EAI Endorsed Transactions on Scalable Information Systems}, volume={4}, number={13}, publisher={EAI}, journal_a={SIS}, year={2017}, month={6}, keywords={Wireless sensor network, structural health monitoring, dense network, sparse network, network lifetime, topology construction protocol.}, doi={10.4108/eai.28-6-2017.152752} }
- M. E. Haque
M. A. Hannan
M. F. Hossain
M. M. Islam
M. J. Abedin
Year: 2017
Lifetime measure of dense and sparse topology sensor network in structural health monitoring
SIS
EAI
DOI: 10.4108/eai.28-6-2017.152752
Abstract
This paper addresses the coverage area and lifetime related issues arise in the building structural monitoring system. The monitoring system consists of a large number of sensor nodes for collecting structural health information. Out of many topologies, the sparse topology was extensively used in sensor network applications. The lifetime of the wireless sensor network is a fundamental issue because it determines the whole system aliveness. The objective of this article is to investigate the network lifetime and compare the computational results of different kinds of topology construction protocols to find optimum lifetime protocol for extending the monitoring system lifetime. The proposed dense network is capable of turnoff unnecessary node and provides the maximum sensing region, which prolong the network lifetime with minimum cost compare to sparse. In the proposed approach, each sensor node dynamically adjust transmission rage with keeping maximum connectivity and minimum consumption. The result shows that the dense topology would be a good choice for monitoring building structural health damage.
Copyright © 2017 Telesphore Tiendrebeogo, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.