On Energy Level Performance of Adaptive Power Based WSN in Presence of Fading

We propose an adaptive power based transmission scheme for WSN (Wireless Sensor Networks) where transmit power is adapted depending on node density and channel conditions so as to maintain a desired level of signal detection probability at a receiving node as demanded by sensing range. In existing Fixed Transmit Power Scheme (FTPS), detection probability degrades with decrease in node spatial density leading to reduction in sensing range. We investigate the performance of the proposed Adaptive Transmit Power Scheme (ATPS) for a square grid WSN under multipath fading. Further energy consumption for an optimal packet length which yields highest energy efficiency is evaluated for both fixed and proposed adaptive power based schemes. Impact of node density, packet length and Rician fading on energy efficiency for both the ATPS and FTPS scheme is also shown.

[1]  F. Davarian.  Fade margin calculation for channels impaired by Rician fading , 1985, IEEE Transactions on Vehicular Technology.

[2]  Ian F. Akyildiz,et al.  Energy efficiency based packet size optimization in wireless sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[3]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[4]  Christian Bettstetter,et al.  How to achieve a connected ad hoc network with homogeneous range assignment: an analytical study with consideration of border effects , 2002, 4th International Workshop on Mobile and Wireless Communications Network.

[5]  Sumit Kundu,et al.  Energy Efficient Packet Data Service in Wireless Sensor Network in Presence of Rayleigh Fading , 2011, Int. J. Grid High Perform. Comput..

[6]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[7]  João H. Kleinschmidt,et al.  An Analytical Model for Energy Efficiency of Error Control Schemes in Sensor Networks , 2007, 2007 IEEE International Conference on Communications.

[8]  A. Nandi,et al.  On Energy Level Performance of Adaptive Power Based WSN in Shadowed Channel , 2011, 2011 International Conference on Devices and Communications (ICDeCom).

[9]  B. Sklar,et al.  Rayleigh fading channels in mobile digital communication systems Part I: Characterization , 1997, IEEE Commun. Mag..

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

[11]  Ivan Stojmenovic,et al.  Ad hoc Networking , 2004 .

[12]  Qian Hu,et al.  An adaptive transmit power scheme for wireless sensor networks , 2010, 2010 3rd IEEE International Conference on Ubi-Media Computing.

[13]  Tamer A. ElBatt,et al.  Joint scheduling and power control for wireless ad hoc networks , 2002, IEEE Transactions on Wireless Communications.

[14]  Gianluigi Ferrari,et al.  Performance of ad hoc wireless networks with Aloha and PR-CSMA MAC protocol , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[15]  Gianluigi Ferrari,et al.  Optimal Transmit Power in Wireless Sensor Networks , 2006, IEEE Transactions on Mobile Computing.

[16]  Srikanth V. Krishnamurthy,et al.  Distributed power control in ad-hoc wireless networks , 2001, 12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH8598).

[17]  Yuh-Ren Tsai,et al.  Sensing coverage for randomly distributed wireless sensor networks in shadowed environments , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).