Sensing Coverage Prediction for Wireless Sensor Networks in Shadowed and Multipath Environment

Sensing coverage problem in wireless sensor networks is a measure of quality of service (QoS). Coverage refers to how well a sensing field is monitored or tracked by the sensors. Aim of the paper is to have a priori estimate for number of sensors to be deployed in a harsh environment to achieve desired coverage. We have proposed a new sensing channel model that considers combined impact of shadowing fading and multipath effects. A mathematical model for calculating coverage probability in the presence of multipath fading combined with shadowing is derived based on received signal strength (RSS). Further, the coverage probability derivations obtained using Rayleigh fading and lognormal shadowing fading are validated by node deployment using Poisson distribution. A comparative study between our proposed sensing channel model and different existing sensing models for the network coverage has also been presented. Our proposed sensing model is more suitable for realistic environment since it determines the optimum number of sensors required for desirable coverage in fading conditions.

[1]  Ioannis Glaropoulos,et al.  On the Gains of Deterministic Placement and Coordinated Activation in Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[2]  Di Tian,et al.  A coverage-preserving node scheduling scheme for large wireless sensor networks , 2002, WSNA '02.

[3]  Ashraf Hossain,et al.  Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network , 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

[4]  Jiannong Cao,et al.  Coverage Analysis for Wireless Sensor Networks , 2005, MSN.

[5]  Hassan Chizari.  Triangle Area Segmentation for Coverage Measurement in Wireless Sensor Networks , 2011 .

[6]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration in wireless sensor networks , 2003, SenSys '03.

[7]  B. Ripley,et al.  Introduction to the Theory of Coverage Processes. , 1989 .

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

[9]  Donald F. Towsley,et al.  A study of the coverage of large-scale sensor networks , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

[10]  King-Shan Lui,et al.  On Perimeter Coverage in Wireless Sensor Networks , 2010, IEEE Transactions on Wireless Communications.

[11]  Songwu Lu,et al.  PEAS: a robust energy conserving protocol for long-lived sensor networks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[12]  TsengYu-Chee,et al.  The coverage problem in a wireless sensor network , 2005 .

[13]  Hakan Deliç,et al.  How many sensors for an acceptable breach detection probability? , 2006, Comput. Commun..

[14]  Javier Rodas,et al.  Dynamic path-loss estimation using a particle filter , 2010 .

[15]  J. Seaman.  Introduction to the theory of coverage processes , 1990 .

[16]  Leonidas J. Guibas,et al.  Wireless sensor networks - an information processing approach , 2004, The Morgan Kaufmann series in networking.

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

[18]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration for energy conservation in sensor networks , 2005, TOSN.

[19]  Özgür B. Akan,et al.  Communication coverage in wireless passive sensor networks , 2009, IEEE Communications Letters.

[20]  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).

[21]  Mohamed Hefeeda,et al.  A Probabilistic Coverage Protocol for Wireless Sensor Networks , 2007, 2007 IEEE International Conference on Network Protocols.

[22]  A. Elfes,et al.  Occupancy Grids: A Stochastic Spatial Representation for Active Robot Perception , 2013, ArXiv.

[23]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[24]  Tomoaki Ohtsuki,et al.  RSS-Based Localization in Environments with Different Path Loss Exponent for Each Link , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[25]  Yu-Chee Tseng,et al.  The Coverage Problem in a Wireless Sensor Network , 2003, WSNA '03.

[26]  Guangjie Han,et al.  A survey on coverage and connectivity issues in wireless sensor networks , 2012, J. Netw. Comput. Appl..

[27]  Brian D. O. Anderson,et al.  Path loss exponent estimation for wireless sensor network localization , 2007, Comput. Networks.