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Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms

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Abstract

In this paper we provide our preliminary idea of using Genetic Algorithms (GAs) to solve the ad hoc Wireless Sensor Networks (WSNs) distance optimization problem. Our objective is to minimize the communication distance over a distributed sensor network. The proposed sensor network will be autonomously divided into set of k-clusters (k is unknown) to reduce the energy consumption for the overall network. On doing this, we use GAs to specify; the location of cluster-heads, the number of clusters and the cluster-mumbers which, if chosen, will minimize the communication distance over the distributed sensor network.

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References

  • Bandyopadhyay S, Coyle EJ (2003) An energy efficient hierarchical clustering algorithm for wireless sensor networks. In: Proceedings of the IEEE conference on computer communications (INFOCOM)

  • Benini E, Toffolo A (2002) Optimal design of horizontal-axis wind turbines using blade-element theory and evolutionary computation. J Solar Energy Eng 124(4):357–363

    Article  Google Scholar 

  • Carlos MS, Figueiredo NEF, Loureiro AAF (2006) Self-organization algorithms for wireless networks. Taylor & Francis Group, LLC

  • Chandrakasan A, Heinzelman WR, Balakrishnan H (2000) Energy efficient communication protocol for wireless micro-sensor networks. In: Proceedings of the Hawaii international conference on system science, Maui, Hawaii, pp 3005–3014

  • Chandrakasan AP, Heinzelman WR (2002) An application-specific protocol architecture for wireless micro-sensor network. IEEE Trans Wireless Commun 1(4): 660–670

    Article  Google Scholar 

  • Das S, Chatterjee M, Turgut D (2002) Wca: a weighted clustering algorithm for mobile ad hoc networks. J Cluster Comput (Special Issue on Mobile Ad hoc Networks) 5: 193–204

    Google Scholar 

  • Gao S, Yuan P, Ji C, Zhang Y, Li Z (2004) Particle swarm optimization for mobile ad hoc networks clustering. Networking, Sensing and Control, IEEE Int Conf 1:372–375

    Article  Google Scholar 

  • Halgamuge SK, Gurn SM, Fernando S (2005) Paticle swarm optimisers for cluster formation in wirless sensor networks. Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Melbourne

  • Heylighen F, Gershenson C (2003) The meaning of self-organization in computing. IEEE Intelligent Systems, Trends and Controversies

  • Hussain S, Matin AW (2006) Base station assisted hierarchical clusterbased routing. In: Proceedings of the international conference on wireless and mobile communications (ICWMC). IEEE Computer Society

  • Jin S, Zhou M, Wu AS (2003) Sensor network optimization using a genetic algorithm. In: Proceedings of the 7th world multiconference on systemics, cybernetics, and informatics. URL http://www.cs.ucf.edu/ecl/pubs.html

  • Laurent LVAWC, Helal D, Zory J (2007) Wireless sensor networks devices: Overview, issues, state of the art and promising technologies. ST J Res, 4, No.1

  • Matin AW, Hussain S (2006) Intelligent hierarchical cluster-based routing. In: Proceedings of the international workshop on mobility and scalability in wireless sensor networks (MSWSN) in IEEE International Conference on Distributed Computing in Sensor Networks (DCOSS), pp 165–172

  • Obaidy M, Ayesh A, Sheta A (2008) Optimizing the communication distance of an ad hoc mobile sensor networks by genetic algorithms. In: Proceedings of the forth international workshop on advanced computation for engineering applications (ACEA08), pp 17–23

  • Ostrosky R, Rabani Y (2002) Polynomial-time approximation schemes for geometric min.sum median clustering. J ACM 49(2): 139–156

    Article  MathSciNet  Google Scholar 

  • Pardalos P, Wolkowicz H (1994) Quadratic assignments and related problems. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 16

  • Procopiuc CM, Agarwal PK (1998) Exact and approximation algorithms for clustering. In: Proceedings of the ninth annual ACM-SIAM symposium on discrete algorithms

  • Rahul Khanna HL, Chen H-H (2006) Self-organization of sensor networks using genetic algorithms. In: Proceedings of IEEE ICC

  • Sahin F, Tillett J, Rao R, Rao TM (2002) Cluster-head identification in ad hoc sensor networks using particle swarm optimization. In: IEEE international conference on personal wireless communication, pp 201–205

  • Sankarasubramaniam Y, Akyildiz I, Su W, Cayirci E (2002) A survey on sensor networks. In: IEEE commun Magazine, pp 102–114

  • Sheta A, Turabieh H (2006) A comparision between genetic algorithms and sequential quadratic programming in solving constrained optimization problems. ICGST Int J Artif Intell Mach Learn (AIML) 6(1): 67–74

    Google Scholar 

  • Sridhar G, Sridhar V (2004) Energy management in ad hoc mobile wireless networks. In: First working conference on wireless on-demand network systems

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Authors and Affiliations

  1. Gulf College, Muscat, Oman

    Mohaned Al-Obaidy

  2. IMRCC research group, Faculty of Technology, De Montfort University, Leicester, UK

    Aladdin Ayesh

  3. Information Systems Department, College of Computers and Information Systems, Taif University, Taif, Saudi Arabia

    Alaa F. Sheta

Authors
  1. Mohaned Al-Obaidy
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  2. Aladdin Ayesh
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  3. Alaa F. Sheta
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Correspondence to Mohaned Al-Obaidy.

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Al-Obaidy, M., Ayesh, A. & Sheta, A.F. Optimizing the communication distance of an ad hoc wireless sensor networks by genetic algorithms. Artif Intell Rev 29, 183 (2008). https://doi.org/10.1007/s10462-009-9148-z

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  • DOI: https://doi.org/10.1007/s10462-009-9148-z

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