Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
A coverage-preserving node scheduling scheme for large wireless sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
PEAS: A Robust Energy Conserving Protocol for Long-lived Sensor Networks
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Integrated coverage and connectivity configuration in wireless sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Preserving Area Coverage in Wireless Sensor Networks by Using Surface Coverage Relay Dominating Sets
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
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A category of wireless sensor networks consists of lots of autonomous sensor nodes with limited power and few base stations with theoretically unlimited power. A number of redundant nodes are usually deployed densely in these types of networks in order to provide redundancy for sensing and communications. There is a challenge though of which nodes must be active and which ones must be asleep, without compromising the coverage and network connectivity. To get round this challenge, each node should somehow know the position of its immediate neighbors. Previous researches have impractically assumed the existence of a GPS module in each node, which is in direct contradiction with the main constraints of low cost and size of sensor nodes. This paper proposes an energy saving solution without requiring the nodes to possess any physical GPS. The goal is to minimize the number of active sensors with respect to coverage and connectivity. Each node decides locally by itself whether to be active or not. There is no need for any global synchronization between nodes. Simulation results show that the higher density of nodes in our proposed solution leads to better coverage, higher energy saving and longer network lifetime.