A Novel Energy-Efficient Reception Method Based on Random Network Coding in Cooperative Wireless Sensor Networks

This paper presents an opportunistic reception (OR) algorithm for energy-efficient transmission in cooperative wireless sensor networks (WSNs), where the characteristics of random linear network coding and the energy consumption property of WSNs are jointly considered. In OR, the sensor nodes in intermediate cluster generate the independent coding vector through simple forwarding or decoding-recoding manners opportunistically, so that the number of received packets can be reduced. To evaluate the algorithm, we derive the average number of received packets, the transmitting nodes, and decoding failure probability under specific assumption. The obtained theoretical and simulation results verify the effectiveness offered by the proposed approach.

[1]  Milica Stojanovic,et al.  Random Linear Network Coding for Time-Division Duplexing: Field Size Considerations , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[2]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[3]  Olivier Berder,et al.  Impact of Transmission Synchronization Error and Cooperative Reception Techniques on the Performance of Cooperative MIMO Systems , 2008, 2008 IEEE International Conference on Communications.

[4]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[5]  M. Skoglund,et al.  Design of Network Codes for Multiple-User Multiple-Relay Wireless Networks , 2012, IEEE Trans. Commun..

[6]  Milica Stojanovic,et al.  Random Linear Network Coding For Time Division Duplexing: When To Stop Talking And Start Listening , 2008, IEEE INFOCOM 2009.

[7]  Mary Ann Weitnauer,et al.  On Using Cooperative Routing for Lifetime Optimization of Multi-Hop Wireless Sensor Networks: Analysis and Guidelines , 2013, IEEE Transactions on Communications.

[8]  Xiaohua Li,et al.  Application of STBC-encoded cooperative transmissions in wireless sensor networks , 2005, IEEE Signal Process. Lett..

[9]  Tharmalingam Ratnarajah,et al.  On the study of network coded AF transmission protocol for wireless multiple access channels , 2009, IEEE Trans. Wirel. Commun..

[10]  R. Koetter,et al.  An algebraic approach to network coding , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[11]  Tracey Ho,et al.  A Random Linear Network Coding Approach to Multicast , 2006, IEEE Transactions on Information Theory.

[12]  Xingcheng Liu,et al.  Reliable Cooperative Communications Based on Random Network Coding in Multi-Hop Relay WSNs , 2014, IEEE Sensors Journal.

[13]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[14]  Rudolf Ahlswede,et al.  Network information flow , 2000, IEEE Trans. Inf. Theory.

[15]  Shuo-Yen Robert Li,et al.  Linear network coding , 2003, IEEE Trans. Inf. Theory.

[16]  Daniel Enrique Lucani,et al.  On the Delay Distribution of Random Linear Network Coding , 2011, IEEE Journal on Selected Areas in Communications.

[17]  Qiang Gao,et al.  Improving Energy Efficiency in a Wireless Sensor Network by Combining Cooperative MIMO With Data Aggregation , 2010, IEEE Transactions on Vehicular Technology.

[18]  Andrea J. Goldsmith,et al.  Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[19]  Marco Fiore,et al.  Exact Decoding Probability Under Random Linear Network Coding , 2010, IEEE Communications Letters.

[20]  Ossama Younis,et al.  Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks , 2009, IEEE INFOCOM 2009.

[21]  Kirk Martinez,et al.  Environmental Sensor Networks , 2005 .