Analysis of efficient dense wireless sensor network deployment in Smart City environments

Abstract

In this work, the massive deployment of wireless sensor networks inherent in the implementation of context aware Smart City environments is presented. A precise estimation considering the topology and the morphology of wide service areas, with a potential large density of transceivers is performed with the aid of in-house deterministic 3D ray launching algorithm, which is specifically adapted to the conditions of large volume and large traffic density. Due to the co-existence of multiple wireless systems (such as wireless local area networks, mobile networks, body area networks or RF proprietary systems), a heterogeneous scenario, in terms of traffic distribution and hence overall interference is present. The precise characterization of coverage areas of all wireless transceivers, as information sources or undesired interference sources, leads to optimal deployment configurations, in which interference levels are minimized, quality of service is enhanced and overall energetic consumption can be optimized.