Region of Feasibility of Interference Alignment in Underwater Sensor Networks

Limited energy, high mobility, and unsteady acoustic communication links render the underwater acoustic sensor networks subject to performance reduction. To solve this problem, a topology optimization method, also called TO-A algorithm, is developed based on topology reconfiguration. First, the proposed method optimizes the coverage rate of underwater acoustic sensor networks by adjusting the location of sensor nodes through simulating fish behaviors. Second, to optimize the connectivity of underwater acoustic sensor networks, the proposed method, using edge nodes, repairs disconnected positions and eliminates key nodes in underwater acoustic sensor networks. Third, a topology optimization strategy, also called TO-DA algorithm, is developed for Double-autonomous underwater vehicles to improve the robustness and adaptability of the network topology. When the inherent law of underwater acoustic sensor networks topology formation is further found, the method for optimizing network topology is proposed, which based on the triangle principle eliminates those key nodes and can help with the survivability of network regeneration. The method proves reasonable and valid by stimulation and contrast examinations. The comparison of TO-A algorithm and TO-DA algorithm shows that under low energy consumption, TO-A algorithm can keep the network coverage at about 97% for a long time, connectivity rate above 89%, while the TO-DA algorithm can improve the survivability of the network by above 50% at the expense of 8.5% of the network coverage.

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“…Compare with the PSO algorithm mentioned by Bhavya and Nithya 13 and the fish swarm optimization algorithm mentioned by Pandey and Pompili 14 …”

Section: The To-da Algorithm Analysismentioning

confidence: 96%

A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles

Liu

Zhang

et al. 2017

International Journal of Distributed Sensor Networks

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“…(1) Sink node , .status ∈CH, CM, CA, ← Φ; (2) .status ← CA; (3) .broadcast(Hello, ); (4) if .receive(Hello, ) then (5) .status ← CH; (6) else .broadcast(Hello, ); (7) endif (8) for all ( ∈ ) and ( ∈ ) do (9) if ∑ | → | > ∑ | → | then (10) .status ← CH; (11) .CH ← ; (12) if (| → | > | → |) and ( .receive(Join, )) then (13) ← ∪ { }; (14) .status ← CM; (15) endif (16) else .status ← CM; (17) .broadcast(Join, ); (18) for all ( , ∈ ) do where res and res denote the residual energy of sensor nodes and , ( , ) is the Euclidean distance from to , and |RTS | and |CTS | denote the number of RTS packets sent from and the number of CTS packets received at . The gravity function in this paper is inspired by Newton's universal law of gravity.…”

Section: Definitionmentioning

confidence: 99%

Towards a Secure Medium Access Control Protocol for Cluster-Based Underwater Wireless Sensor Networks

Liu

Guan

2015

International Journal of Distributed Sensor Networks

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The unique characteristics of high bit error rate, low bandwidth, and long propagation delay in underwater environments pose significant challenges to the design of the medium access control (MAC) protocol for underwater wireless sensor networks (UWSNs). Clustering is an effective and practical way to enhance the performance of UWSNs. In this paper, we propose a secure MAC protocol for cluster-based UWSNs, called SC-MAC, which aims to ensure the security of data transmission. In SC-MAC, the clusters are formed and updated dynamically and securely. We leverage MAC layer information by considering the link quality as well as residual energy of the modem's battery. After the successful mutual authentication, all sensor nodes from different clusters can protect the data transmission in the continuous communication. As the states of sensor nodes may not be observed accurately in a harsh underwater environment, we formulate the channel scheduling process as a stochastic partially observed Markov decision process (POMDP) multiarmed bandit problem and derive the optimal channel scheduling rules hereby. Simulation results show that SC-MAC can perform better than existing state-of-the-art MAC protocols in terms of network throughput, successful delivery ratio, and energy consumption in various circumstances.

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“…International standards for wireless devices and networks, such as ZigBee, WirelessHART and ISAIOO.Il a use stacks to provide a layered and abstract description of the network protocol design [13], [14]. Each layer in the stack is a collection of related functions, and each layer is responsible for providing services to the layer above it, while receiving services from the layer below it [15], [16], [17].…”

Section: B Applicability Of Standardsmentioning

confidence: 99%

Tele-Monitoring System for Water and Underwater Environments Using Cloud and Big Data Systems

Suciu

Dobre

et al. 2015

2015 20th International Conference on Control Systems and Computer Science

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Recent research in communications and computer science has been considered to advance the performances of monitoring water environments. However, constrains produced by the water environments, caused by the specific channel propagation and harsh operating conditions must be taken into account. The purpose of this paper is to define and describe a monitoring system for the water environments, based on a previous study regarding both the underwater, but also technologies that are appropriate for such surroundings. The system is based on an underwater sensors network which is connected to a cloud platform by means of a reconfigurable wireless transceiver. The sensor network integrates several low cost sensors that can measure different parameters such as water level, the water flow, temperature, pressure etc. The measured parameters will be transmitted through an operational communication node, which should be able to ensure a reliable communication with timing and variation delay constraints. Finally, the paper describes the platform interface available to end users, providing real time visualization of the water environment events.

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Region of Feasibility of Interference Alignment in Underwater Sensor Networks

Cited by 21 publications

References 28 publications

A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles

A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles

Towards a Secure Medium Access Control Protocol for Cluster-Based Underwater Wireless Sensor Networks

Tele-Monitoring System for Water and Underwater Environments Using Cloud and Big Data Systems

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