Sensor Node Deployment based on OTLBO in WSN
Anand Krishnan Prakash, Rajesh Kumar Yadav, Daya Sagar Gupta · Procedia Computer Science · 2015
A Wireless Sensor Network (WSN) can be defined as a collection of spatially distributed sensor nodes with a common goal to obtain global information from locally collected data. The nodes communicate wirelessly, operate autonomously and perform cooperative actions. In order to make good use of the locally collected data, the nodes have to collaborate with each other and should form a network to perform any common application. WSNs may be deployed in large numbers in various environments, including remote and hostile regions. In this paper, we have addressed one of the fundamental issues in WSN, namely coverage which reflects how well a sensor network is monitored or tracked by sensors. If the sensors are considered as mobile nodes then the effectiveness of the Wireless Sensor Network will depend on the coverage of the sensor node deployment scheme. This paper considers sensors that move in the monitoring field according to OTLBO (Orthogonal Teaching Learning Based Optimization) in order to improve network coverage. OTLBO is an improvement over TLBO (Teaching Learning Based Optimization) that makes TLBO fast to converge and more robust. OTLBO is a recent approach in the optimization field.