GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Proceedings of the 3rd international symposium on Information processing in sensor networks
Uncertainty-aware and coverage-oriented deployment for sensor networks
Journal of Parallel and Distributed Computing
Analytical modeling and mitigation techniques for the energy hole problem in sensor networks
Pervasive and Mobile Computing
General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies
IEEE Transactions on Mobile Computing
Coverage and Lifetime Optimization of Wireless Sensor Networks with Gaussian Distribution
IEEE Transactions on Mobile Computing
Efficient Sensor Placement for Surveillance Problems
DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
IEEE Communications Magazine
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Energy is one of the scarcest resources in wireless sensor network (WSN). So the issue of preserving energy requires utmost attention. There are many ways to conserve energy in such a network. One primary way of conserving energy is judicious deployment of sensor nodes within the network area so that the energy flow remains balanced throughout the network. This prevents the problem of occurrence of 'energy holes' and ensures prolonged network lifetime. This work first proposes a probability density function (PDF) and derives its intrinsic characteristics. We have shown the PDF's suitability to model the network architecture considered for the work. Next a node deployment algorithm is developed based on this PDF. Further, we have identified necessary constraints involving different network parameters for ensuring energy balance of the entire network. Performance of the deployment scheme is evaluated in terms of energy balance and network lifetime. Finally the scheme is compared with two existing deployment schemes. Simulation results confirm our scheme's supremacy over the two existing schemes in terms of all the two performance metrics.