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Thread: CS619 WSN Partitioning Strategies Final Project for sale Spring Semester April 2013

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    18 CS619 WSN Partitioning Strategies Final Project for sale Spring Semester April 2013

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    CS619 WSN Partitioning Strategies Final Project for sale Spring Semester April 2013.

    WSN Partitioning Strategies
    Wireless Sensor Network is partitioned into collection of nodes which are called clusters. Clustering technique is used in order to enhance performance of WSNs. There are many clustering techniques whose goals are longevity, convergence in more area, nodes reliability and route stability. CH may be pre-selected by network designer or elected by sensors in clusters after deployment. CHs are mainly responsible for all activities in the clusters like it keeps member nodes in low power sleep mode to increase the life time of individual node by reducing the energy consumption.

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    Different energy efficient routing protocols have been suggested which perform single and multi hop communication to send data from source to cluster head and cluster head to sink(base station) like

    1. CACC: Clustering Algorithm based on Cell Combination
    2. VAP-E: Energy-Efficient Clustering -Virtual Area Partition
    3. CFL: Clustering for Localization
    4. FoVs: Overlapped Field of View
    5. KOCA: K-Hop Overlapping Clustering Algorithm
    6. PEZCA: Power-Efficient Zoning Clustering Algorithm
    7. VoGC: Voting-on-Grid clustering
    8. BARC: Battery Aware Reliable Clustering
    9. Hausdroff Clustering
    10. HSA: Harmony Search Algorithms
    11. PEGASIS: Power-Efficient Gathering in Sensor Information System
    12. Max-Min D-Cluster Algorithm
    13. PDCH: Pegasis Algorithm Improving Based on Double Cluster Head
    14. GROUP
    15. EECS: Energy Efficient Clustering Schemes
    16. EEUC: Energy Efficient Unequal Clustering
    17. LCA: Linked Cluster Algorithms and LCA2
    18. Highest-connectivity cluster algorithm
    19. Particle swarm optimizers for cluster formation in wireless sensor networks (PSO- Clustering )
    20. PSO-C: Centralized-PSO
    21. MST-PSO: Minimum Spanning Tree-PSO
    22. LEACH and Its Descendant
    Students will simulate suggested clustering protocols and compare the result with the respect to energy consumption and life time of nodes in WSN.
    Simulations can be implemented in MATLAB or any network simulation like NS2 etc.
    NOTE: Students will implement and compare result of any two algorithms specified by the Supervisor.

    Project For sale now contact this number:03455242488
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    Last edited by Vuhelper; 04-24-2013 at 05:45 PM.

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