Visualisation of efficiency coverage and energy consumption of sensors in wireless sensor networks using heat map

Abstract

A wireless sensor network (WSN) consists of spatially distributed autonomous sensors that cooperatively monitor physical or environmental conditions such as temperature, sound, vibration, pressure, motion and pollutants. WSNs are currently utilised in various and different types of WSN simulators have been developed to visually depict the coverage, energy consumption status and expected lifetime of WSN sensors. In particular, owing to the importance of low energy movement design for efficient energy consumption, devices that can design and verify the efficiency of packets are being developed. Therefore, this study suggests a coverage visualisation technique for a sensor node; this technique is based on an existing binary model that uses the detection rate of nodes portrayed on a heat map. In addition to coverage visualisation, the visualisation technique can be used to predict the energy lifetime of a node. The simulator that can verify visualisation techniques for efficient coverage visualisation and energy lifetime prediction has been designed and implemented. This simulator, which the authors have named current reduction state observer on WSN device (CROWD), performs sensor network simulation using a virtual sensor network and multi-mobile objects. CROWD also shows the detection rate of sensors on a heat map.