Optimized Energy Efficient Probabilistic Cluster Head Selection in Leach Based on Maximum Residual Energy and Minimum Distance to BS for WSNS (ME Theses) (Record no. 61745)

MARC details
000 -LEADER
fixed length control field 02714nam a22001337a 4500
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Zahid Yousif Memon
-- 15MCCN04
-- Supervisor Dr. Intesab Hussain Sadhayo
245 ## - TITLE STATEMENT
Title Optimized Energy Efficient Probabilistic Cluster Head Selection in Leach Based on Maximum Residual Energy and Minimum Distance to BS for WSNS (ME Theses)
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Nawabshah:
Name of publisher QUEST,
Year of publication 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 66p.
500 ## - GENERAL NOTE
General note ABSTRACT<br/><br/>Wireless Sensor Network (WSNs) provide facility to human monitoring and controlling the physical world, particularly in emergency/disaster circumstances where direct human involvement is not possible. WSNs play a vital role in this period of communication and capability to monitor and control the daily life application including health care underwater monitoring and terrestrial domain. In this concern, the wireless sensors become more compact and significantly evolved over last few years. However, power source/battery of sensor nodes deployed in the field are mainly un-chargeable and unchangeable, so, it faces the problem of limited life time. In WSNs sensor nodes collect data and transmit it to BS. Mostly, WSNs perform energy extensive task and consumes reasonable amount of energy in communication operations result in degradation of life of network. Whereas, energy efficient techniques are required to improve the life time of sensor networks. Thus, low Energy Adaptive Clustering (LEACH) is the basic energy efficient hierarchical routing protocol proposed to prolong network life time. However, LEACH experience some limitations with respect to energy consumption with degradation in network life time. In this regard, a new scheme Low Energy Adaptive Clustering Hierarchical Probability Influenced Factor Energy (LEACH-PIPE) is proposed in this study. Though, the main goal of LEACH-PIPE is to reduce energy consumption and to extend network life time by introducing advertisement (ADV) message packet and discarding border nodes in proposed scheme. Furthermore, LEACH-PIPE has the feature to select the best energy node as CH using a probability function based on maximum residual energy and minimum distance to BS.<br/>Moreover, modification in LEACH-PIPE algorithm results in satisfactory improvement as compared to Direct Transmission (DT) and LEACH. To validate the energy effectiveness of LEACH-PIPE MATLAB2015A is used as the simulation tool. The results demonstrate the LEACH-PIPE attains the best network life time with improved system remaining system and reduced in energy consumption and low traffic load a compared to DT and LEACH.<br/><br/><br/>
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Department of Computer System Engineering
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://tinyurl.com/425rhwjb
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Thesis and Dissertation
Holdings
Withdrawn status Lost status Home library Current library Date acquired Accession Number Koha item type
    Research Section Research Section 16/10/2018 MP/32-362 Thesis and Dissertation