The coverage hole problem in Wireless Sensor Networks (WSNs) is one of the most important problem. The data has to be communicated through the base station that every sensor node have to be communicated to the adjacen...
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The coverage hole problem in Wireless Sensor Networks (WSNs) is one of the most important problem. The data has to be communicated through the base station that every sensor node have to be communicated to the adjacent nodes within its communication area. The level of network connectivity is used to detect the coverage hole problem. The proposed fuzzy enabled coveragehole detection methodology is used to identify the coveragehole in the network. The communication links among the sensor nodes are maintained by the path construction. The adjacent nodes are identified based on the energy level for enhanced transmission. Fuzzy rules are constructed with the parameters of Energy, Communication with adjacent nodes and network coverage with the coveragehole is detected as the output of these rules. The experimental results show that the proposed methodology has improved performance for detecting the coveragehole with various parameters.
Wireless sensor network contains several small sensor nodes that are designed to work autonomously. coverage preservation is an underlying requirement to efficiently deliver certain services in WSNs. During network op...
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Wireless sensor network contains several small sensor nodes that are designed to work autonomously. coverage preservation is an underlying requirement to efficiently deliver certain services in WSNs. During network operation, some sensor nodes die because of several reasons like energy exhaustion, link failure, node failure etc. We refer it as coverage hole problem of WSNs. In this paper, a new decentralized, node based, localized algorithm called coveragehole Detection and Restoration is proposed for detection as well as restoration of coverageholes. Our proposed algorithm is expected to outperform existing algorithms on the parameters of energy and time consumption for convex and non-convex holes.
To resolve coverage hole problems caused by indoor base-station (IBS) faults, we propose a new frame structure and a practical algorithm based on an optimization technique. Our main contributions can be described as f...
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To resolve coverage hole problems caused by indoor base-station (IBS) faults, we propose a new frame structure and a practical algorithm based on an optimization technique. Our main contributions can be described as follows: 1) a frame structure with healing subchannels for overcoming abnormal IBS faults and 2) an efficient suboptimal resource allocation algorithm with opportunistic IBS selection to reduce the complexity of the optimization problem. Through intensive simulations, we evaluate the performance of our proposed algorithm with respect to average cell capacity, user fairness, and outage probability and compare it with the performance of conventional algorithms.
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