CvLTAELG1AAv7GMjp8RSaPGsvS8 WSN Partitioning Strategies Pring 2013 CS619 Projects |
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WSN Partitioning Strategies Spring 2013 CS619 Projects

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.


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


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.

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