Utility based Power Control with FEC in Hexagonally deployed WSN

The fundamental component of resource management in Wireless Sensor Network (WSN) is transmitter power control since they are miniature battery powered devices. An efficient power control technique is essential to maintain reliable communication links in WSN and to maintain the battery life of the sensor node and in turn the sensor network. Error control coding (ECC) schemes can improve the system performance and has an impact on energy consumption. This paper analyses a game theoretic model with pricing for power control in a sensor network considering ECC for random, square, triangular and hexagonal deployment schemes. The performance of the proposed power control scheme with RS and MIDRS code for WSN is evaluated in terms of utility, and energy consumption. Simulation results show that, for hexagonal deployment scheme, with the inclusion of ECC, the transmitting power of the nodes is reduced thereby saving energy and increasing the network lifetime.

[1]  Jennifer C. Hou,et al.  Maintaining Sensing Coverage and Connectivity in Large Sensor Networks , 2005, Ad Hoc Sens. Wirel. Networks.

[2]  Christian Schlegel,et al.  Error Control Coding in Low-Power Wireless Sensor Networks: When Is ECC Energy-Efficient? , 2006, EURASIP J. Wirel. Commun. Netw..

[3]  M. Balakrishnan,et al.  A Framework for Energy-Consumption-Based Design Space Exploration for Wireless Sensor Nodes , 2008, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[4]  Cem U. Saraydar,et al.  Pricing and power control in a multicell wireless data network , 2001, IEEE J. Sel. Areas Commun..

[5]  P. Dananjayan,et al.  Utility enhancement by power control in WSN with different topologies using game theoretic approach , 2011 .

[6]  P. R. Kumar,et al.  Power Control in Ad-Hoc Networks: Theory, Architecture, Algorithm and Implementation of the COMPOW Protocol , 2002 .

[7]  Rajmohan Rajaraman,et al.  Topology control and routing in ad hoc networks: a survey , 2002, SIGA.

[8]  Shamik Sengupta,et al.  A Game Theoretic Framework for Power Control in Wireless Sensor Networks , 2010, IEEE Transactions on Computers.

[9]  Chunming Qiao,et al.  An integrated cross-layer study of wireless CDMA sensor networks , 2004, IEEE Journal on Selected Areas in Communications.

[10]  R. Sreenivas,et al.  The COMPOW protocol for power control in ad hoc networks : Theory , architecture , algorithm , implementation , and experimentation ∗ † , 2001 .

[11]  Alexander Vardy,et al.  Multivariate interpolation decoding beyond the Guruswami-Sudan radius , 2004 .

[12]  Robert Tappan Morris,et al.  Span: An Energy-Efficient Coordination Algorithm for Topology Maintenance in Ad Hoc Wireless Networks , 2001, MobiCom '01.

[13]  Mani B. Srivastava,et al.  Topology management for sensor networks: exploiting latency and density , 2002, MobiHoc '02.

[14]  P. Dananjayan,et al.  Utility Enhancement by Game Theoretic Approach Using Square Grid Topology in WSN , 2011, 2011 International Conference on Process Automation, Control and Computing.

[15]  Li Li,et al.  Distributed topology control for power efficient operation in multihop wireless ad hoc networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

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