Reducing energy consumption of nodes using force based auto deployment of Wireless Sensor Networks

Networked tiny sensors technologies have been recognized among the most significant technologies for the 21st century. Because of hardware and network technology advancements we have low-cost, low-power multifunctional miniature sensor devices. These sensor nodes team up between themselves to create a sensing network. A sensor network can be used to access information anytime, anywhere. Data can be collected, processed, analyzed and disseminated. Wireless Sensor Networks (WSNs) have many applications but typically take in some kind of supervisory, monitoring and tracking. Specific applications for WSNs include infrastructure security, environmental monitoring, object tracking, nuclear reactor control, green house monitoring, industrial monitoring, fire detection, traffic monitoring, and infrastructure security. There are many issues in WSN: power management, security, privacy, routing, localization etc. In view of reducing energy consumption of sensor nodes this paper presents the force based algorithm to auto deploy a sensor network to reduce the power consumed by the sensor nodes to improve their lifetime.

[1]  Yu-Chee Tseng,et al.  Efficient deployment algorithms for ensuring coverage and connectivity of wireless sensor networks , 2005, First International Conference on Wireless Internet (WICON'05).

[2]  Gerhard P. Hancke,et al.  A Distributed Topology Control Technique for Low Interference and Energy Efficiency in Wireless Sensor Networks , 2012, IEEE Transactions on Industrial Informatics.

[3]  Archana Bharathidasan,et al.  Sensor Networks : An Overview , 2002 .

[4]  Gaurav S. Sukhatme,et al.  Mobile Sensor Network Deployment using Potential Fields : A Distributed , Scalable Solution to the Area Coverage Problem , 2002 .

[5]  Thomas F. La Porta,et al.  Movement-assisted sensor deployment , 2004, IEEE INFOCOM 2004.

[6]  Jiming Chen,et al.  Energy Provisioning in Wireless Rechargeable Sensor Networks , 2013, IEEE Trans. Mob. Comput..

[7]  Volkan Isler,et al.  Sensor Placement Algorithms for Triangulation Based Localization , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[8]  Sanjay Kumar Madria,et al.  Sensor networks: an overview , 2003 .

[9]  Ruay-Shiung Chang,et al.  Self-Deployment by Density Control in Sensor Networks , 2008, IEEE Transactions on Vehicular Technology.

[10]  R. Srikant,et al.  Unreliable sensor grids: coverage, connectivity and diameter , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[11]  Kay Römer,et al.  Middleware challenges for wireless sensor networks , 2002, MOCO.

[12]  Yang Xiao,et al.  Lightweight Deployment-Aware Scheduling for Wireless Sensor Networks , 2005, Mob. Networks Appl..

[13]  Kamarulzaman Ab. Aziz,et al.  Coverage Strategies for Wireless SensorNetworks , 2009, Journal of Science and Technology.

[14]  Thomas F. La Porta,et al.  Proxy-based sensor deployment for mobile sensor networks , 2004, 2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE Cat. No.04EX975).

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

[16]  David A. Wagner,et al.  Security in wireless sensor networks , 2004, SASN '04.

[17]  Krishnendu Chakrabarty,et al.  Sensor deployment and target localization based on virtual forces , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).