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Title: | Performance Analysis and Lifetime Optimization of LEACH Protocol For Wireless Sensor Network |
Authors: | Vala, Kaushalkumar Mansurbhai |
Keywords: | EC 2009 Project Report 2009 EC Project Report Project Report EC (Communication) Communication 09MECC 09MECC17 Communication 2009 |
Issue Date: | 1-Jun-2011 |
Publisher: | Institute of Technology |
Series/Report no.: | 09MECC17 |
Abstract: | A Wireless Sensor Network (WSN) is a network of large number of small, low- power,low-cost,intelligent sensor nodes sensors that senses speci ed parameter(s) re- lated to environment, processes data locally and communicates information to cen- tral Base Station (BS). The BS analyzes information and initiates suitable response. Smart sensors are capable to collect huge amount of unknown data which are used for various computing applications. Sensor can be deployed and accessed remotely,where it is not viable to provide data and power lines. In recent years, advances in energy- e cient design and wireless technologies have enabled new applications like remote monitoring using networked sensors, personal medical monitoring, industrial automa- tion, planet exploration, food industry, aircraft health monitoring, re rescue Appli- cations and home networking of everyday appliances. On one hand WSN have various application but on the other hand the sensor node su ers from the constraints like, nodes are battery operated, WSN uses wireless spectrum which is scarce, limited computational resources. To overcome such constrains WSN require some energy ef- cient and high performance protocols. Many power aware protocols for media access and routing are proposed in the literature. In this thesis we select one such well re- ferred protocol Low Energy Clustering Hierarchy (LEACH), analyze its performance based on certain qualitative and quantitative metrics, investigate its limitations and proposed solution for the same. |
URI: | http://hdl.handle.net/123456789/2369 |
Appears in Collections: | Dissertation, EC (Communication) |
Files in This Item:
File | Description | Size | Format | |
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09MECC17.pdf | 09MECC17 | 3.74 MB | Adobe PDF | ![]() View/Open |
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