Research Article
A Study on Various Deployment Schemes for Wireless Sensor Networks
@INPROCEEDINGS{10.1007/978-3-642-27317-9_50, author={G. Rao and V. Kumari}, title={A Study on Various Deployment Schemes for Wireless Sensor Networks}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III}, proceedings_a={CCSIT PART III}, year={2012}, month={11}, keywords={Wireless Sensor Network Deployment Knowledge Grid deployment Random deployment}, doi={10.1007/978-3-642-27317-9_50} }- G. Rao
V. Kumari
Year: 2012
A Study on Various Deployment Schemes for Wireless Sensor Networks
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_50
Abstract
The Recent advances in electronics and wireless communication technologies have enabled the development of large-scale wireless sensor networks that consist of many low-powers, low-cost and small-size sensor nodes. Sensor networks hold the promise of facilitating large-scale and real time data processing in complex environments. Some of the application areas are health, military, and home. In military, for example, the rapid deployment, self-organization, and fault tolerance characteristics of sensor networks make them a very promising technique, for military command, control, communications, computing, and the targeting systems. In health, sensor nodes can also be deployed to monitor patients and assist disabled patients and etc. Deployment of nodes in Wireless Sensor Networks (WSNs) is a basic issue to be addressed as it can influence the performance metrics of WSNs connectivity, resilience and storage requirements. Many deployment schemes have been proposed for wireless sensor networks. In this paper we consider the implications of various deployment schemes for the connectivity and resilience of the WSNs. Our approach to deal with the affective trade-offs between resilience, connectivity and storage requirements for each deployment schemes in the literature, we survey four deployment models random, grid, group and grid-group to show which deployment scheme can be used to increase network connectivity, without increasing storage requirements or sacrificing resilience with respect to some factor. Our contribution is we had implemented of WSNs using grid and random deployment Knowledge. WSNs have been simulated with Network Simulator 2.34 for node configuration, sink node configuration, topology creation, with sensing capabilities, temperature and energy by using Mannasim.