A modeling language for mathematical programming
Management Science
Network flows: theory, algorithms, and applications
Network flows: theory, algorithms, and applications
Shallow water acoustic networks
IEEE Communications Magazine
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
Delivery Guarantee of Greedy Routing in Three Dimensional Wireless Networks
WASA '08 Proceedings of the Third International Conference on Wireless Algorithms, Systems, and Applications
Low-connectivity and full-coverage three dimensional wireless sensor networks
Proceedings of the tenth ACM international symposium on Mobile ad hoc networking and computing
Constructing low-connectivity and full-coverage three dimensional sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Energy-efficient restricted greedy routing for three dimensional random wireless networks
WASA'10 Proceedings of the 5th international conference on Wireless algorithms, systems, and applications
Efficient vector-based forwarding for underwater sensor networks
EURASIP Journal on Wireless Communications and Networking - Special issue on radar and sonar sensor networks
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Underwater sensor networks will find applications in oceanographic data collection, pollution monitoring, offshore exploration, disaster prevention, assisted navigation, and tactical surveillance applications. In this paper, the problem of data gathering in a 3D underwater acoustic sensor network is investigated at the network layer, by considering the interactions between the routing functions and the characteristics of the underwater channel. Two routing algorithms are proposed for delay-insensitive and delay-sensitive sensor network applications, respectively.The proposed distributed algorithm for delay-insensitive applications allows each node to select its next hop, with the objective of minimizing the energy consumption taking into account the varying condition of the underwater channel. A centralized algorithm for delay-sensitive routing in an underwater environment is proposed. The solution relies on topology information gathered by a surface station, which optimally configures the network paths. The proposed algorithms are shown to achieve the performance targets of the underwater environment by means of simulation.