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A Novel Area Coverage Management Scheme for Sensor Network with Mobile Sensor Nodes


Affiliations
1 School of Electronics Engineering
2 School of Computer Engineering, KIIT University, Bhubaneswar,751024, India
 

Wireless sensor networks (WSNs) are with sensor nodes that can sense certain physical characteristics and features to capture environmental information such as temperature, pressure, humidity sound, motion etc. WSNs are capable of forming a self-organizing network. A self organizing network is the one that gets up automatically without any form of manual setup or configuration. Again the deployment of these networks to cover the desired area in specific environment is a challenge. However, many works have been cited about this issue of area coverage problem with static sensor nodes but automatic configuration of sensor node with flexible mobility and less energy consumption are the matter of prime consideration. Again, suitable deployment schemes are crucial for achieving best link performance. This paper proposes a model based on artificial potential field along with rank of sensor node that decides which node will participate in mobility to cover the specified area. Our analytical study is based on Voronoi diagram and artificial potential fields which bring out significant outcomes.

Keywords

Self Deployment, Area Coverage, Rank, Voronoi Polygon, Energy Optimization
User

  • Cardei M and Du DZ (2005) Improving wireless sensor network lifetime through power aware organization. ACM Wireless Networks. 11(3), 333- 340.
  • Cardei M and Wu J (2006) Energy-efficient coverage problems in wireless ad hoc sensor networks. Comput. Commun. J. (Elsevier). 29(4), 413-420.
  • Carle J and D Simplot (2004) Energy efficient area monitoring by sensor networks. IEEE Comput. 37(2), 40-46.
  • Howard A, Mataric MJ and Sukhatme GS (2002) Mobile sensor network deployment using potential fields: A distributed, scalable solution to the area coverage problem. 6thInt. Conf. Distributed Autonomous Robotic Systems (DSRS02), Fukuoka, Japan. pp: 299-308.
  • Meguerdichian S, Koushanfar F, Potkonjak M and SrivastavaM (2001) Coverage problems in wireless Ad-hoc sensor networks. IEEE Infocom. pp: 1380- 1387.
  • Nojeong Heo and Pramod K Varshney (2005) Energy-efficient deployment of intelligent mobile sensor networks. IEEE Trans. Sys. Man, & Cybernetics.Part A: Sys. & Humans. 35(1), 78–92.
  • Sameera Poduri and Gaurav S Sukhatme (2004) Constrained coverage for mobile sensor Networks. IEEE Int. Conf. Robotics & Automation. April 26-May 1, 2004, New Orleans, LA, USA. pp: 165-172.
  • Shafaq Chaudhary, Victor Hung and Ratan Guha (2006) Optimal placement of wireless sensor nodes with fault tolerance and minimal energy consumption.2006 IEEE.
  • Wang G, Cao G and La Porta T (2004) Proxy-based sensor deployment for mobile sensor networks. Proc. 1stIEEE Int. Conf. Mobile Ad-hoc & Sensor Sys. (MASS’04), Fort Lauderdale, Florida, October 2004.

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  • A Novel Area Coverage Management Scheme for Sensor Network with Mobile Sensor Nodes

Abstract Views: 470  |  PDF Views: 130

Authors

Archana Mishra
School of Electronics Engineering
Sudhansu Sekhar Singh
School of Electronics Engineering
Saikath Bhattacharya
School of Electronics Engineering
Prasant Kumar Pattnaik
School of Computer Engineering, KIIT University, Bhubaneswar,751024, India

Abstract


Wireless sensor networks (WSNs) are with sensor nodes that can sense certain physical characteristics and features to capture environmental information such as temperature, pressure, humidity sound, motion etc. WSNs are capable of forming a self-organizing network. A self organizing network is the one that gets up automatically without any form of manual setup or configuration. Again the deployment of these networks to cover the desired area in specific environment is a challenge. However, many works have been cited about this issue of area coverage problem with static sensor nodes but automatic configuration of sensor node with flexible mobility and less energy consumption are the matter of prime consideration. Again, suitable deployment schemes are crucial for achieving best link performance. This paper proposes a model based on artificial potential field along with rank of sensor node that decides which node will participate in mobility to cover the specified area. Our analytical study is based on Voronoi diagram and artificial potential fields which bring out significant outcomes.

Keywords


Self Deployment, Area Coverage, Rank, Voronoi Polygon, Energy Optimization

References





DOI: https://doi.org/10.17485/ijst%2F2012%2Fv5i8%2F30525