Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Challenges for efficient communication in underwater acoustic sensor networks
ACM SIGBED Review - Special issue on embedded sensor networks and wireless computing
Deployment analysis in underwater acoustic wireless sensor networks
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
Energy optimal data propagation in wireless sensor networks
Journal of Parallel and Distributed Computing
Shallow water acoustic networks
IEEE Communications Magazine
An integrated cross-layer study of wireless CDMA sensor networks
IEEE Journal on Selected Areas in Communications
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The severe energy constraints of sensors and the unique characteristics of underwater sensor networks (UWSNs) present major challenges for the long-term monitoring applications. This paper proposes two novel adaptive transmission algorithms for UWSNs to prolong lifetime. When a message becomes available for propagation at a node, the node will propagate data by multi-hop or one-hop to the master node according to the hybrid of its residual energy and a threshold. The threshold is predetermined by the master node and is not changed midway. This study applies the approaches to star topology for various combinations of internode distance, frequency and the number of nodes in a prototype hallow UWSNs. Simulation experiments show that the schemes can prolong the lifetime comparing with the existing schemes of UWSNs.