A Beneficial Analysis Of Node Deployment Schemes For Wireless Sensor Networks

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 smallsize 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. 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 random, grid and grid-group 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

Secure Deployment with Optimal Connectivity in Wireless Sensor Networks

“…The authors examined that the proposed approach provides enriched resilience and better connectivity rather than clustered wireless sensor networks. The authors Rao and Vallikumari surveyed four deployment models random, grid, group and grid-group to deal with affective tradeoffs between performance metrics connectivity, storage requirements and resilience (Rao & Vallikumari, 2012). And, a comparative study with respect to the stated performance metrics is presented in this paper.…”