An energy-efficient geographic routing based on cooperative transmission in wireless sensor networks

In this paper, we propose an energy-efficient cooperative geographic routing (ECGR) to reach energy-efficient routing in wireless sensor networks (WSN). ECGR takes full advantage of cooperative diversity and geographic routing. At physical layer, cooperative nodes transmit the same packet in a cooperative way to achieve farther transmission distance of each hop without more energy consumption. While at the network layer, ECGR adaptively selects the appropriate cooperative nodes to form forwarding clusters to forward the packet to the destination when we consider energy consumption and geographic information of the sensor nodes. Meanwhile, in order to fully assess the energy consumption, we take circuit energy consumption of the sensor nodes into consideration. According to the description above, we increase the transmit distance of each hop; and thereby reducing and balancing the overall network energy consumption among nodes to extend the lifetime of the network.

[1]  Yan Zhang,et al.  Energy-Efficient Cross-Layer Protocol of Channel-Aware Geographic-Informed Forwarding in Wireless Sensor Networks , 2009, IEEE Transactions on Vehicular Technology.

[2]  Lili Qiu,et al.  SOAR: Simple Opportunistic Adaptive Routing Protocol for Wireless Mesh Networks , 2009, IEEE Transactions on Mobile Computing.

[3]  Babak Azimi-Sadjadi,et al.  Diversity gain for cooperating nodes in multi-hop wireless networks , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[4]  Wei Zhang,et al.  Full-rate distributed space-time codes for cooperative communications , 2008, IEEE Transactions on Wireless Communications.

[5]  Wei Yuan,et al.  An Energy-Efficient Cooperative MISO-Based Routing Protocol for Wireless Sensor Networks , 2009, 2009 IEEE Wireless Communications and Networking Conference.

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

[7]  Junshan Zhang,et al.  Cooperative Geographic Routing in Wireless Sensor Networks , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[8]  Shuguang Cui,et al.  Energy-Efficient Cooperative Communication based on Power Control and Selective Relay in Wireless Sensor Networks , 2007, MILCOM 2007 - IEEE Military Communications Conference.

[9]  Robin Doss,et al.  Geographic Routing with Cooperative Relaying and Leapfrogging in Wireless Sensor Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[10]  Brian Ellis.  The Design of CMOS Radio-Frequency Integrated Circuits , 2004 .

[11]  Robert Schober,et al.  On noncoherent receivers for DSTM in spatially correlated fading , 2009, IEEE Transactions on Communications.

[12]  Deborah Estrin,et al.  GPS-less low-cost outdoor localization for very small devices , 2000, IEEE Wirel. Commun..

[13]  Jiangzhou Wang,et al.  Chunk-based resource allocation in OFDMA systems - part I: chunk allocation , 2009, IEEE Transactions on Communications.

[14]  Robert Tappan Morris,et al.  ExOR: opportunistic multi-hop routing for wireless networks , 2005, SIGCOMM '05.

[15]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[16]  Sudharman K. Jayaweera,et al.  Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks , 2006, IEEE Transactions on Wireless Communications.

[17]  Shuguang Cui,et al.  Energy-Efficient Cooperative Communication Based on Power Control and Selective Single-Relay in Wireless Sensor Networks , 2008, IEEE Transactions on Wireless Communications.

[18]  Thomas H. Lee.  The Design of CMOS Radio-Frequency Integrated Circuits , 1998 .

[19]  Ramesh Govindan,et al.  Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications , 2005, SIGCOMM 2005.

[20]  A. Lee Swindlehurst,et al.  Recursive blind symbol estimation of convolutionally coded cochannel signals , 2000, IEEE Trans. Signal Process..