Power-Aware Node Deployment in Wireless Sensor Networks
International Journal of Distributed Sensor Networks - Sensor Networks, Ubiquitous and Trustworthy Computing
A Lifetime Enhancing Node Deployment Strategy in WSN
FGIT '09 Proceedings of the 1st International Conference on Future Generation Information Technology
Node placement of linear wireless multimedia sensor networks for maximum network lifetime
GPC'08 Proceedings of the 3rd international conference on Advances in grid and pervasive computing
Pareto-based evolutionary computational approach for wireless sensor placement
Engineering Applications of Artificial Intelligence
A pre-determined node deployment strategy to prolong network lifetime in wireless sensor network
Computer Communications
Energy-balancing and lifetime enhancement of wireless sensor network with archimedes spiral
UIC'11 Proceedings of the 8th international conference on Ubiquitous intelligence and computing
Deployment strategy of WSN based on minimizing cost per unit area
Computer Communications
An efficient strategy of nonuniform sensor deployment in cyber physical systems
The Journal of Supercomputing
Hi-index | 0.00 |
Sensor networks have attracted intensive interests due to its extendable capability. In this paper, we attempt to answer a fundamental but practical question:" how should we deploy these nodes?" In most current designs, sensors are randomly or uniformly distributed because of their simplicity. However, the node deployment has a great impact to the wireless systems. It in essential highlights an open issue that, instead of maintaining the coverage for some snapshots of the network, how we can provide a continuous coverage in the whole lifecycle of the wireless sensor networks. We will exhibit the weakness of the uniform distribution by disclosing the fatal Sink routing-hole problem. To address this problem, we propose a non-uniform, power-aware distribution scheme. Our analysis and simulation results show that the Power-aware deployment scheme can significantly improve the long-termed network connectivity and service quality.