Solving low-density subset sum problems
Journal of the ACM (JACM)
Digital communications: fundamentals and applications
Digital communications: fundamentals and applications
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Low-power acoustic modem for dense underwater sensor networks
WUWNet '06 Proceedings of the 1st ACM international workshop on Underwater networks
On the relationship between capacity and distance in an underwater acoustic communication channel
ACM SIGMOBILE Mobile Computing and Communications Review
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
A Tabu Search Algorithm for Cluster Building in Wireless Sensor Networks
IEEE Transactions on Mobile Computing
A CDMA-based medium access control for underwater acoustic sensor networks
IEEE Transactions on Wireless Communications
Underwater acoustic communication channels: propagation models and statistical characterization
IEEE Communications Magazine
Signal processing for underwater acoustic communications
IEEE Communications Magazine
Overview of networking protocols for underwater wireless communications
IEEE Communications Magazine
Optimization of energy efficient transmission in underwater sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A multimedia cross-layer protocol for underwater acoustic sensor networks
IEEE Transactions on Wireless Communications
Localization using ray tracing for underwater acoustic sensor networks
IEEE Communications Letters
Concise derivation of scattering function from channel entropy maximization
IEEE Transactions on Communications
A -Parameterized Deterministic Annealing EM Algorithm Based on Nonextensive Statistical Mechanics
IEEE Transactions on Signal Processing - Part II
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Ensuring the required reliability and energy efficiency is an essential issue in Underwater Acoustic Networks (UANs). Many schemes have been developed to improve reliability and energy efficiency in such networks. However, most of the existing schemes are based on the assumption that the noise is uniformly distributed in the underwater surrounding and the noise attenuation is not considered. This paper takes the noise attenuation into account and proposes a new Asymmetric Multi-path Division Communications (AMDC) mechanism to improve reliability and energy efficiency in UANs. To this end, an Asymmetric Multiple Layer Division (AMLD) scheme is developed to divide the underwater communication space for the purpose of constructing the tree-based multi-paths. The problem of energy efficiency of AMDC is then formulated as a distributed optimization problem and is solved in order to achieve a set of feasible solutions. Finally, simulation experiments are conducted to evaluate the performance of the proposed AMDC. The results reveal that AMDC outperforms the existing multi-path transmission scheme in UANs in terms of energy efficiency and the total Packet Error Rate (PER).