Region based cooperative routing in underwater wireless sensor networks

Cooperative routing is an appealing challenge in underwater wireless sensor networks (UWSNs). In this paper, we propose a region based cooperative routing protocol (RBCRP) for amplify and forward (AF) technique over Rayleigh faded channels in UWSNs. The source node sends the sensed signal to the destination and available relay nodes. At the destination node, bit error rate (BER) is checked on the basis of which, either positive or negative acknowledgement (ACK or NACK) is sent to the source and relay nodes. We also use mobile sinks (MSs) and energy harvesting techniques to further prolong the network lifetime and maximize the throughput. Our derived mathematical equations for the SNR gain and outage probability are verified by simulations. Results show that RBCRP performs better than the existing incremental best relay technique (IBRT) in terms of throughput, network lifetime and outage probability.

[1]  Qing Chen,et al.  Energy Efficiency Analysis in Amplify-And-Forward and Decode-And-Forward Cooperative Networks , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[2]  Arindam Ghosh,et al.  Throughput and Energy Efficiency of a Cooperative Hybrid ARQ Protocol for Underwater Acoustic Sensor Networks , 2013, Sensors.

[3]  Dong-Seong Kim,et al.  Distributed cooperative transmission for underwater acoustic sensor networks , 2013, 2013 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[4]  Norman C. Beaulieu,et al.  Exact analytical solution for end-to-end SNR of multihop AF relaying systems , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[5]  Bin Cao,et al.  Relay selection scheme based on propagation delay for cooperative underwater acoustic network , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[6]  David E. Culler,et al.  Design, Modeling, and Capacity Planning for Micro-solar Power Sensor Networks , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[7]  Hyungsik Ju,et al.  Throughput Maximization in Wireless Powered Communication Networks , 2013, IEEE Trans. Wirel. Commun..

[8]  Matt Welsh,et al.  MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking , 2005, LoCA.

[9]  B. Sai Srujana,et al.  Multi-source Energy Harvesting System for Underwater Wireless Sensor Networks , 2015 .

[10]  Ke Xiong,et al.  Outage Analysis of Cooperative Transmission with Energy Harvesting Relay: Time Switching vs Power Splitting , 2014, ArXiv.

[11]  Lillykutty Jacob,et al.  Maximum lifetime routing in underwater sensor networks using mobile sink for delay-tolerant applications , 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

[12]  Nadeem Javaid,et al.  Improved Adaptive Cooperative Routing in Underwater Wireless Sensor Networks , 2015, 2015 10th International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA).

[13]  Metin Koç,et al.  Coordinated movement of multiple mobile sinks in a wireless sensor network for improved lifetime , 2015, EURASIP J. Wirel. Commun. Netw..

[14]  Pai H. Chou,et al.  AmbiMax: Autonomous Energy Harvesting Platform for Multi-Supply Wireless Sensor Nodes , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[15]  Salama Ikki,et al.  Performance Analysis of Cooperative Diversity with Incremental-Best-Relay Technique over Rayleigh Fading Channels , 2011, IEEE Transactions on Communications.

[16]  Faisal Karim Shaikh,et al.  Energy harvesting in wireless sensor networks: A comprehensive review , 2016 .

[17]  Mani B. Srivastava,et al.  Design considerations for solar energy harvesting wireless embedded systems , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[18]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[19]  G. Watson.  Bessel Functions. (Scientific Books: A Treatise on the Theory of Bessel Functions) , 1923 .

[20]  Zhigang Jin,et al.  Relay selection and Optimization algorithm of Power allocation based on Channel Delay for UWSN , 2016 .

[21]  Zhong Zhou,et al.  Effective Relay Selection for Underwater Cooperative Acoustic Networks , 2013, 2013 IEEE 10th International Conference on Mobile Ad-Hoc and Sensor Systems.

[22]  David E. Culler,et al.  Perpetual environmentally powered sensor networks , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[23]  Li Yu,et al.  Performance Analysis of Amplify and Forward Cooperative Relaying Protocol in Wireless Communication System , 2013, Wirel. Pers. Commun..

[24]  Jinhyun Kim,et al.  Development of 3-Dimensional Sensor Nodes using Electro-magnetic Waves for Underwater Localization , 2013 .

[25]  Wei Zhu,et al.  An Efficient Algorithm for Energy Management in Wireless Sensor Networks via Employing Multiple Mobile Sinks , 2016, Int. J. Distributed Sens. Networks.

[26]  Joan García-Haro,et al.  Performance of single-relay cooperative ARQ retransmission strategies , 2009, IEEE Communications Letters.

[27]  He Chen,et al.  Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications , 2014, IEEE Transactions on Signal Processing.

[28]  U. Qasim,et al.  Cooperative partner nodes selection criteria for cooperative routing in underwater WSNs , 2015, 2015 5th National Symposium on Information Technology: Towards New Smart World (NSITNSW).

[29]  Kyung Sup Kwak,et al.  Outage Probability of Opportunistic Amplify-and-Forward Relaying in Nakagami-m Fading Channels , 2008 .

[30]  Jae Won Lee,et al.  A cooperative ARQ scheme in underwater acoustic sensor networks , 2010, OCEANS'10 IEEE SYDNEY.

[31]  Kuei-Ping Shih,et al.  A Self-Adaptive Cooperative Routing Protocol for underwater acoustic sensor networks , 2015, OCEANS 2015 - MTS/IEEE Washington.