Proposed Approaches for Sensor Node Deployment in Wireless Sensor Networks
DOI:
https://doi.org/10.69923/jms3f531Keywords:
WSN, Random deployment, Predefined deployment, mathematical model, Optimization, Grid deploymentAbstract
Sensor deployment is a crucial aspect of designing any wireless sensor networks. Deployment strategy significantly influences wireless sensor network performance. Various deployment strategies have been proposed to improve network connectivity and sensing coverage. Wireless sensor deployment is a complex problem that requires careful consideration of various factors, including the application, environment, energy consumption, and communication technologies. Different deployment methods and strategies can be used depending on the objectives and constraints of the sensor network. Many issues must be considered when proposing any sensor deployment approach. Most of these issues are coverage range, network connectivity, communication range, sensor location, and scalability. In this research, a random deployment approach is proposed to estimate the required number of sensors to be deployed in a certain area. A predefined deployment model is also developed to calculate the optimal number of sensors and their distribution coordinates based on grid deployment. A mathematical optimization model is proposed to find the optimum required number of sensor nodes to be distributed in a specific area by selecting the optimal sensor distribution among different places. This developed model is validated by different simulation experiments. It also aims to achieve maximum possible connectivity and maximum sensing coverage to offer a certain limit of consistency using the minimum number of nodes without long simulation experiments. This is achieved by enabling any sensor to communicate with one or more nearby sensors at any given time. The simulation results proved to be largely consistent with the results of the mathematical model.
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