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Scheduling sleeping nodes in high density cluster-based sensor networks
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Coverage and Lifetime Optimization of Wireless Sensor Networks with Gaussian Distribution
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Range-Based Sleep Scheduling (RBSS) for Wireless Sensor Networks
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Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks
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ICCTD '09 Proceedings of the 2009 International Conference on Computer Technology and Development - Volume 01
Coverage-aware sleep scheduling for cluster-based sensor networks
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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A distributed sleep scheduling algorithm with range adjustment for wireless sensor networks
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Randomized coverage-preserving scheduling schemes for wireless sensor networks
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NS Simulator for Beginners
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Sleep scheduling of sensors in network domain is considered to be the most fundamental way of achieving higher life expectancy of wireless sensor networks. In this paper we have proposed density-based sleep scheduling strategy with traffic awareness in Gaussian distributed sensor network for minimizing energy consumption. In uniform distributed sensor network, it has been found that nodes in the nearest belt around the sink consume more energy. The reason behind is that the nodes near the sink involve more packet relaying load than the distant nodes. Consequently, the energy of these sensors get exhausted rapidly, thereby creating connectivity breaks known as energy hole. For this purpose, Gaussian distribution is used by densely deploying nodes around the sink which well-balances the relaying load. In addition, we have developed the analytical model for computing the energy consumption and coverage analysis in the sensor network. The performance of our sleep scheduling method is evaluated with respect to the Randomized Scheduling and Linear Distance-based Scheduling protocols. The simulation results of our proposed work show commendable improvement in network lifetime.