Abstract
To reduce the blind zone in network coverage, we propose a coverage optimization algorithm of wireless sensor network based on mobile nodes. This algorithm calculates the irregularity of blind zone in network coverage and obtains the minimum approximate numerical solution by utilizing the quantitative relationship between energy consumption of related nodes and the position of the mobile nodes. After determining the optimal relative position of the mobile nodes, the problem of blind zone between the static nodes is addressed. Simulation result shows that the proposed algorithm has high dynamic adaptability and can address the problem of blind zone maximally. Besides increasing the network coverage, the algorithm also reduces the network energy consumption, optimizes network coverage control and exhibits high convergence.
Highlights
Wireless sensor network consists of a large number of sensor nodes, which are randomly deployed within a certain monitoring region
To reduce the blind zone in network coverage, we propose a coverage optimization algorithm of wireless sensor network based on mobile nodes
Taking into account the wireless sensor networks are usually deployed in relatively poor place, more difficult to replace the battery or change.Coverage is an important indicator of wireless sensor network [1,2,3]and optimizing coverage is to reduce the blind zone and redundant coverage, to ensure high data transmission efficiency and to prolong the service life within an acceptable range of energy consumption In order to improve the performance of WSN, and cover the requirements for monitoring area, the densely deployment is one of the most common method to improve the coverage rate
Summary
Wireless sensor network consists of a large number of sensor nodes, which are randomly deployed within a certain monitoring region. Taking into account the wireless sensor networks are usually deployed in relatively poor place, more difficult to replace the battery or change.Coverage is an important indicator of wireless sensor network [1,2,3]and optimizing coverage is to reduce the blind zone and redundant coverage, to ensure high data transmission efficiency and to prolong the service life within an acceptable range of energy consumption In order to improve the performance of WSN, and cover the requirements for monitoring area, the densely deployment is one of the most common method to improve the coverage rate. This resolves the problem of overlapping related to repairing the static voids, and reduces the number of nodes and prolongs the service life
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More From: International Journal of Online and Biomedical Engineering (iJOE)
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