Review WSN Partitioning Strategies Vu Final Project Cs619 Help In south-andaman, andaman-and-nicobar-islands, india | School In South Andaman
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WSN Partitioning Strategies Vu Final Project Cs619 Help
South-andaman,
Andaman-and-nicobar-islands,India - 744104
0092-3085927736
Detailed description is Cell/Whats app: 0092-3085927736.
Skype: trust_aware.
Email :vuhelp7@gmail.com.
www.cs619finalproject.com.
WSN Partitioning Strategies vu final project cs619 help.
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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 following:.
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1.
CACC: Clustering Algorithm based on Cell Combination .
2.
VAP-E: Energy-Efficient Clustering -Virtual Area Partition .
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CFL: Clustering for Localization .
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FoVs: Overlapped Field of View .
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KOCA: K-Hop Overlapping Clustering Algorithm.
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PEZCA: Power-Efficient Zoning Clustering Algorithm .
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VoGC: Voting-on-Grid clustering .
8.
BARC: Battery Aware Reliable Clustering.
9.
Hausdroff Clustering .
10.
HSA: Harmony Search Algorithms .
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PEGASIS: Power-Efficient Gathering in Sensor Information System .
12.
Max-Min D-Cluster Algorithm .
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PDCH: Pegasis Algorithm Improving Based on Double Cluster Head .
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GROUP .
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EECS: Energy Efficient Clustering Schemes .
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EEUC: Energy Efficient Unequal Clustering.
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LCA: Linked Cluster Algorithms and LCA2 .
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Highest-connectivity cluster algorithm.
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Particle swarm optimizers for cluster formation in wireless sensor networks (PSO- Clustering ).
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PSO-C: Centralized-PSO .
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MST-PSO: Minimum Spanning Tree-PSO .
22.
LEACH and Its Descendant.
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Students will simulate suggested clustering protocols and compare the result with the respect to energy consumption and life time of nodes in WSN..
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Simulations can be implemented in MATLAB or any network simulation like NS2 etc..
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NOTE: Students will implement and compare result of any two algorithms specified by the Supervisor..
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Supervisor: Tanweer Arshad (as2@vu.edu.pk).
Application Type: Desktop Application.
Possible Students: 1 to 2.
Proposed Tools: MATLAB, Any network similar (NS2 etc.).
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For VU Final Project Training and Help Contact.
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Sardar Abdul Majid Rashid Khan .
http://majidva.com/ .
.
0313 5189209.
Skype: trust_aware
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