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Localization Optimization: A Customized Cuckoo approach on DV-Hop Algorithm

Chamani Tabriz, Solmaz | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 48642 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Hemmatyar, Ali Mohammad Afshin; Mazinani, Majid
  7. Abstract:
  8. Node localization is an important issue in dynamic environments for location-dependent applications of Wireless Sensor Networks (WSNs). Geographical location information is necessary in many WSN applications. The goal of localization algorithm is to assign geographical coordinates to each unknown node position. Among different localization algorithms, DV-hop is one of the well- known algorithms. DV-hop algorithm is a range-free algorithm and has significant error in node location estimation. Since the node deployment is stochastic, minimizing this error has a critical role in location estimation accuracy of the algorithm. Increasing communication radius and number of anchors, to the certain amount, would decrease the localizations error but after that, the effect is less. One way to improve location estimation, is to couple an optimization algorithm with DV-hop. We have implemented Cuckoo Optimization Algorithm (COA) to improve the estimation of sensors position. By simulation, DV-Hop algorithm without COA, DV-Hop with COA, and DV-Hop with both COA and larger communication radius are compared to each other for stochastic and deterministic anchor deployments, and different numbers of anchors. The simulation results show the latter combination has the less localization error
  9. Keywords:
  10. Localization ; Wireless Sensor Network ; DV-Hop Algorithm ; Cuckoo Optimization Algorithm (COA)

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