Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Impact of interference on multi-hop wireless network performance
Proceedings of the 9th annual international conference on Mobile computing and networking
Wireless Communications
On the relationship between capacity and distance in an underwater acoustic communication channel
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
Proceedings of the 12th annual international conference on Mobile computing and networking
R-MAC: An Energy-Efficient MAC Protocol for Underwater Sensor Networks
WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
A prototype underwater acoustic sensor network platform with topology-aware MAC scheme
International Journal of Sensor Networks
Target tracking based on a distributed particle filter in underwater sensor networks
Wireless Communications & Mobile Computing - Underwater Sensor Networks: Architectures and Protocols
Wireless Communications & Mobile Computing
Introduction to Algorithms, Third Edition
Introduction to Algorithms, Third Edition
EBRP: Energy-Balanced Routing Protocol for Data Gathering in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Shallow water acoustic networks
IEEE Communications Magazine
Cross-Layer Optimization for Video Summary Transmission over Wireless Networks
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Mobile Computing
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Although numerous works have been done on optimising energy usage of sensors existing in Underwater Wireless Sensor Networks UWSNs, no work has been done on jointly considering the mutual interconnections among paths of multi-source nodes under the given network topology and acoustic channel conditions. In this work, we consider the problem of data transmission from multiple source nodes to the sink node. The main contributions of this work are: a node significance is defined based on the distance and source node statuses; b given a number of source nodes, we formulate the problem of energy-efficient multiple paths, and develop a polynomial-time algorithm for deriving the optimal paths; c to refine the feasible number of source nodes, the upper and lower bounds are derived based on the network topology and acoustic channel conditions. Extensive simulation results show that our proposed scheme can achieve significant performance enhancement over the existing ones.