Single fitness function analysis of energy-consumption and radio bandwidth management in coverage area problems
The Wireless Sensor Network (WSN) has emerged as a promising tool for monitoring the physical world, utilizing self-organizing networks of battery-powered wireless sensors that can sense, process and communicate. It can be deployed rapidly and cheaply, thereby enabling large-scale, on-demand monitor...
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| Summary: | The Wireless Sensor Network (WSN) has emerged as a promising tool for monitoring the physical world, utilizing self-organizing networks of battery-powered wireless sensors that can sense, process and communicate. It can be deployed rapidly and cheaply, thereby enabling large-scale, on-demand monitoring and tracking over a wide range of applications. Sensor nodes in such a network usually have limited on-board processing and wireless communication capabilities, and are equipped with batteries prolong the network lifetime. However, if all the sensor nodes simultaneously operated, redundant sensing data, corresponding wireless communication collision and interference will cause much energy to be wasted. How does one cover all the sensing area with the least active nodes so that no blind-point exists and connectivity is kept significant? Coverage becomes a serious problem in large scale sensor networks where hundreds and thousands of nodes are randomly deployed. The coverage problem is one of the most fundamental issues in wireless sensor. Current solutions are based for the most part on node scheduling, the main idea of which is to find the optimal number of active nodes while maintaining coverage and connectivity. The problem in finding the maximal coverage in a sensor network addressed in where coverage is defined as a set of nodes that can completely cover the monitored are, and a centralized solution to this problem is proposed. Several algorithms aim to find a close-to-optimal solution based on local information. In this work, a new method for controlling WSN main parameters (such as energy consumption, bandwidth, signal strength and coverage) using single fitness function proposed, developed and tested. In order to complete this research a network simulates is developed main Microsoft visual C# and a few experiments are done on the simulator. In future research, more and more work will be focused on distributed and localized solutions for practical deployment by simulation wireless sensor networks. In this simulation can be run either be reset with a new seed or with the previous seed for replay. |
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