Wireless Sensor Network

Volume 2, Issue 5 (May 2010)

ISSN Print: 1945-3078   ISSN Online: 1945-3086

Google-based Impact Factor: 1  Citations  

A New Method to Improve Performance of Cooperative Underwater Acoustic Wireless Sensor Networks via Frequency Controlled Transmission Based on Length of Data Links

HTML  Download Download as PDF (Size: 995KB)  PP. 381-389  
DOI: 10.4236/wsn.2010.24050    5,606 Downloads   10,750 Views  Citations

Affiliation(s)

.

ABSTRACT

In this paper a new method to improve performance of cooperative underwater acoustic (UWA) sensor networks will be introduced. The method is based on controlling and optimizing carrier frequencies which are used in data links between network nods. In UWA channels Pathloss and noise power spectrum density (psd) are related to carrier frequency. Therefore, unlike radio communications, in UWA Communications signal to noise ratio (SNR) is related to frequency besides propagation link length. In such channels an optimum frequency in whole frequency band and link lengths cannot be found. In Cooperative transmission, transmitter sends one copy of transmitted data packets to relay node. Then relay depending on cooperation scheme, amplifies or decodes each data packet and retransmit it to destination. Receiver uses and combines both received signals to estimate transmitted data. This paper wants to propose a new method to decrease network power consumptions by controlling and sub-optimizing transmission frequency based on link length. For this purpose, underwater channel parameters is simulated and analyzed in 1km to 10km lengths (midrange channel). Then link lengths sub categorized and in each category, optimum frequency is computed. With these sub optimum frequencies, sensors and base station can adaptively control their carrier frequencies based on link length and decrease network’s power consumptions. Finally Different Cooperative transmission schemes “Decode and Forward (DF)” and “Amplify and Forward (AF)”, are simulated in UWA wireless Sensor network with and without the new method. In receiver maximum ratio combiner (MRC) is used to combining received signals and making data estimations. Simulations show that the new method, called AFC cooperative UWA communication, can improve performance of underwater acoustic wireless sensor networks up to 40.14%.

Share and Cite:

V. Vakily and M. Jannati, "A New Method to Improve Performance of Cooperative Underwater Acoustic Wireless Sensor Networks via Frequency Controlled Transmission Based on Length of Data Links," Wireless Sensor Network, Vol. 2 No. 5, 2010, pp. 381-389. doi: 10.4236/wsn.2010.24050.

Cited by

[1] Reinforcement Learning for Distributed Energy Efficiency Optimization in Underwater Acoustic Communication Networks
… Communications and Mobile …, 2022
[2] GCORP: Geographic and cooperative opportunistic routing protocol for underwater sensor networks
2021
[3] BAT-COOP: Cooperative Diversity in FANETs using BAT Algorithm with two relay mechanism
2020
[4] Cooperative and Delay Minimization Routing Schemes for Dense UnderwaterWireless Sensor Networks
2019
[5] Cooperative and delay minimization routing schemes for dense underwater wireless sensor networks
2019
[6] Data Redundancy-Control Energy-Efficient Multi-Hop Framework for Wireless Sensor Networks
2019
[7] A Hybrid Energy Equating Game for Energy Management in the Internet of Underwater Things
2019
[8] Energy-Effective Cooperative and Reliable Delivery Routing Protocols for Underwater Wireless Sensor Networks
2019
[9] An Energy-Efficient Redundant Transmission Control Clustering Approach for Underwater Acoustic Networks
2019
[10] A Stable and Reliable Short-Path Routing Scheme for Efficient Acoustic Wireless Sensor Networks (AWSNs)
2019
[11] 基于博弈论的分布式水声通信网络功率分配算法.
Journal of Signal Processing, 2017
[12] 基于博弈论的分布式水声通信网络功率分配算法
2017
[13] Efficient Data Gathering in 3D Linear Underwater Wireless Sensor Networks Using Sink Mobility
Sensors, 2016
[14] Co-UWSN: cooperative energy-efficient protocol for underwater WSNs
International Journal of Distributed Sensor Networks, 2015
[15] Research Article Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs
2015
[16] Towards Cooperative Routing in Underwater and Body Area Wireless Sensor Networks
2015
[17] On Network Lifetime Maximization in Wireless Sensor Networks with Sink Mobility
2015
[18] Differential sensitivity modeling & analysis of acoustic channel capacity in spectrum-aware underwater networks
Applied Sciences and Technology (IBCAST), 2014 11th International Bhurban Conference on. IEEE, 2014
[19] A deterministic simulation modeling & analysis for the improvement of signal-to-noise ratio (SNR) based on ambient noise sources in underwater acoustic communication channel
Applied Sciences and Technology (IBCAST), 2013 10th International Bhurban Conference on. IEEE, 2013
[20] A deterministic simulation modeling & analysis for the improvement of signal-to-noise ratio (SNR) based on ambient noise sources in underwater acoustic …
2013
[21] Gradient Estimation Vector Modeling of signal attenuation in Underwater Wireless Sensor Networks
Applied Sciences and Technology (IBCAST), 2012 9th International Bhurban Conference on. IEEE, 2012
[22] Implementation of cooperative virtual MISO communication in underwater acoustic wireless sensor networks
International Journal of Computer Science Issues (IJCSI), 2011

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.