Design of Probability Density Function Targeting Energy Efficient Network for Coalition Based WSNs

Energy consumption is one of the important issues in wireless sensor network that rely on non chargeable batteries for power. Also, the sensor network has to maintain a desired sensing coverage area along with periodically sending of the sensed data to the base station. Therefore, coverage and the lifetime are the two important issues that need to be addressed. Effective deployment of wireless sensors is a major concern as the coverage and lifetime of any wireless sensor network depends on it. In this paper, we propose the design of a Probability Density Function (PDF) targeting the desired coverage, and energy efficient node deployment scheme. The suitability of the proposed PDF based node distribution to model the network architecture considered in this work has been analyzed. The PDF divides the deployment area into concentric coronas and provides a probability of occurrence of a node within any corona. Further, the performance of the proposed PDF is evaluated in terms of the coverage, the number of transmissions of packets and the lifetime of the network. The scheme is compared with the existing node deployment schemes based on various distributions. The percentage gain of the proposed PDF based node deployment is 32$$\%$$% more than that when compared with the existing schemes. Thus, the simulation results obtained confirm the schemes superiority over the other existing schemes.

[1]  H. Hasbullah,et al.  Impact of Gaussian deployment strategies on the performance of wireless sensor network , 2012, 2012 International Conference on Computer & Information Science (ICCIS).

[2]  Sipra Das Bit,et al.  Enhancement of wireless sensor network lifetime by deploying heterogeneous nodes , 2014, J. Netw. Comput. Appl..

[3]  Dhanashri H. Gawali,et al.  Wearable Sensors Based Pilgrim Tracking and Health Monitoring system , 2016, 2016 International Conference on Computing Communication Control and automation (ICCUBEA).

[4]  Muhammad Omer Farooq,et al.  MR-LEACH: Multi-hop Routing with Low Energy Adaptive Clustering Hierarchy , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.

[5]  Najm Us Sama,et al.  Efficient Energy Utilization Through Optimum Number of Sensor Node Distribution in Engineered Corona-Based (ONSD-EC) Wireless Sensor Network , 2013, Wirel. Pers. Commun..

[6]  Markus Rupp,et al.  Experimental node failure analysis in WSNs , 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

[7]  Arunabha Sen,et al.  Relay node placement in large scale wireless sensor networks , 2006, Comput. Commun..

[8]  Atiq Ur Rahman,et al.  Corona based deployment strategies in wireless sensor network: A survey , 2016, J. Netw. Comput. Appl..

[9]  Sipra Das Bit,et al.  Design of a Probability Density Function Targeting Energy-Efficient Node Deployment in Wireless Sensor Networks , 2014, IEEE Transactions on Network and Service Management.

[10]  Krishnendu Chakrabarty,et al.  Sensor placement for effective coverage and surveillance in distributed sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[11]  Markos P. Anastasopoulos,et al.  Energy efficiency in wireless sensor networks: A game-theoretic approach based on coalition formation , 2013, TOSN.

[12]  Richa Mishra,et al.  Energy Efficient Approach in Wireless Sensor Networks Using Game Theoretic Approach and Ant Colony Optimization , 2017, Wireless Personal Communications.

[13]  Edward J. Coyle,et al.  An energy efficient hierarchical clustering algorithm for wireless sensor networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[14]  Marco Dorigo,et al.  Ant colony optimization , 2006, IEEE Computational Intelligence Magazine.

[15]  Sagar Naik,et al.  Data Capacity Improvement of Wireless Sensor Networks Using Non-Uniform Sensor Distribution , 2006, Int. J. Distributed Sens. Networks.

[16]  Y. N. Singh,et al.  N-LEACH, a balanced cost cluster-heads selection algorithm for Wireless Sensor Network , 2012, 2012 National Conference on Communications (NCC).

[17]  Marco Zennaro,et al.  On Real-Time Performance Evaluation of Volcano-Monitoring Systems With Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[18]  Rishi Pal Singh,et al.  Survey on Coverage Problems in Wireless Sensor Networks , 2015, Wirel. Pers. Commun..

[19]  Avinash More,et al.  A survey on energy efficient coverage protocols in wireless sensor networks , 2017, J. King Saud Univ. Comput. Inf. Sci..

[20]  Vladislav Skorpil,et al.  Split Distributed Computing in Wireless Sensor Networks , 2015 .

[21]  Dharma P. Agrawal,et al.  Coverage and Lifetime Optimization of Wireless Sensor Networks with Gaussian Distribution , 2008, IEEE Transactions on Mobile Computing.

[22]  Halabi Hasbullah,et al.  Sub-Balanced Energy Consumption through Engineered Gaussian Deployment Strategies in Corona-Based Wireless Sensor Network , 2013 .

[23]  Alexei Makarenko,et al.  Implementation of an Indoor Active Sensor Network , 2004, ISER.

[24]  Subir Halder,et al.  Is sensor deployment using gaussian distribution energy balanced? , 2014, 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC).

[25]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[26]  Irshad Ahmad,et al.  Two Echelon Architecture Using Relay Node Placement in Wireless Sensor Network , 2015 .

[27]  Santanu Chaudhury,et al.  Monitoring a large surveillance space through distributed face matching , 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

[28]  Jie Wu,et al.  EECS: an energy efficient clustering scheme in wireless sensor networks , 2005, PCCC 2005. 24th IEEE International Performance, Computing, and Communications Conference, 2005..

[30]  Gang Wei,et al.  Multiple-Sensor Indoor Surveillance System , 2006, The 3rd Canadian Conference on Computer and Robot Vision (CRV'06).

[31]  Markus Rupp,et al.  WSN Implementation of the Average Consensus Algorithm , 2011, EW.

[32]  Sipra Das Bit,et al.  A Probability Density Function for Energy-Balanced Lifetime-Enhancing Node Deployment in WSN , 2007, ICCSA.