EE-LEACH: Energy Enhancement in LEACH to Improve Network Life Time of Homogeneous Wireless Sensor Network

AutorAnshu Kumar Dwivedi
CargoAnshu Kumar Dwivedi is a research scholar at the Madan Mohan Malaviya University of Technology, Gorakhpur (India). He holds Master of Technology (Honours) in Computer Engg from YMCA university of science and technology, Faridabad (India). His area of interest is wireless sensor network, Ad hoc network, Theory of computation, Operating System. E...
Páginas205-224
EE-Leach: Energy Enhancement in Leach to Improve Network Lifetime... (p. 205-224) 205
DWIVEDI, A. K.; SHARMA, A. K .
EE-Leach: Ener gy Enhancement in Leach to Improve Net work Lifetime of
Homogeneous Wireless Sensor Network
.
The Law, State and Telecommunications Review
, Brasilia, v.
12, no. 1, p. 205-224, May 2020. DOI: https://doi.org/10.26512/lstr. v12i1.29051.
EE-LEACH: ENERGY ENHANCEMENT IN LEACH TO
IMPROVE NETWORK LIFETIME OF HOMOGENEOUS
WIRELESS SENSOR NETWORK
Submitted
: 07/01/202 0
Anshu Kumar Dwivedi*
A.K.Sharma**
Revised
: 14/01/202 0
Accepted
: 23/01/202 0
Abstract
Purpose
In the recent scenario, there are v arious issues related to wireless sensor
networks suc h as clustering, routing , packet loss, network strength. The core funct ionality
of primary wireless sensor networks (WSNs ) is sensor no des that are ar bitrarily scattere d
over a specific reg ion. Sensor nodes sense the data and send it to the sink. Energy
consumption is an important issue in wireless sensor networks. Clustering and cluster
head selection are important methods u sed to extend the lifetim e of WSNs. The main g oal
of this researc h article is to reduce energy consumption using a clusterin g process that
involves CH d etermination, cluster form ation, and data dissemina tion.
Methodology/appr oach/design
The simulation in th is paper was finished utilizing
MATLAB and the proposed technique is contrasted with LEACH and MOD -LEACH
protocols.
Findings
The simulatio n results of th is research show that the energy utilization and
dead node ratio of WSNs are im proved as compared to LEACH and MOD -LEACH
algorithms.
Originality/value
In a wireless sensor network there are va rious co nstraints, e nergy
being one of them . In order to solv e this problem, we use CH selection algorith ms to
reduce energy utilization and, conseque ntly increase network life span.
Keywords
: Clustering . LEACH. Cluster Head . WSN. Energy Efficien cy.
*
Anshu Kumar Dwive di is a research scholar at the Madan Mohan Ma laviya U niversity
of Technology, Gorakhpur (India). He hold s Master of Technology (Honours) in
Computer Engg from YMCA university of science and t echnology, Faridabad (India).
His area of interest is wireless sensor network , Ad hoc network, Theory of computat ion,
Operating Sys tem. E-mail: anshucse.dwivedi@gmail.com.
**
Dr. A.K. Sharm a is a Professor in De partment of Computer Sc. & Engineering at the
Madan Mohan Malaviya University of Technology Go rakhpur (India). He holds M.Tech
and Ph.D de grees from IIT Kharagpur. His are a of interest is wireless sensor network,
DBMS and AI. He is member of IEEE, FIE (India), FIETE, MCSI, MISTE. E -mail:
akscse@rediffmail.com. Addre ss: Depar tment o f CSE, Madan Mohan Malaviya
University of Technology, Gorakhpur, In dia.
206
EE-Leach: Energy Enhancement in Leach to Improve Network Lifetime... (p. 205-224)
DWIVEDI, A. K.; SHARMA, A. K .
EE-Leach: Ener gy Enhancement in Leach to Improve Net work Lifetime of
Homogeneous Wireless Sensor Network
.
The Law, State and Telecommunications Review
, Brasilia, v.
12, no. 1, p. 205-224, May 2020. DOI: https://doi.org/10.26512/lstr. v12i1.29051.
INTRODUCTION
The area of WSN is growing very fast in the field of the medical sector,
agricultural surveillance, battlefield, environmental monitoring, etc. Following
recent developments in microelectronics, technology sensors and electronic
circuitry (AKYILDIZ et al, 2002) (RAWAT et al, 2014) now have lower power
consumption. A WSN collect s information f rom the environment and working
on som e input parameters (energy, distance, communication quality) it
maintains the information for a long time. WSNs hav e sensor nodes that sense,
collect and compute data from the environment. These sensor n odes use a huge
battery power supply, large memory and powerful processor. So, now it has
become an issue for researchers how to use the energy of sensor nodes
(MEHRA et al, 2019) efficiently. Th e WSN can be catego rized into two parts
homogeneous and heterogeneous. In homogeneous networks, all sensor nodes
have the identical characteristics, u nlike heterogeneous networks where each
sensor node can have different characteristics. Each SN in the network contains
three sub-systems: Sensor Subsystem: includes at least one sensor, which is used
to sense natural parameters, e.g. temperature, wetness, pressure, earthquake etc.
Handling Subsystem: It consists of a microcontroller that calculates
neighborhood on detected information and controls activities and incoming
memory to control info rmation. Correspon dence subsy stem: This charge is for
carrying the information up to BS.
There are two types of information gathering plan s in WSNs; hier archal
and non-hierarchal protocols. In the hierarchal protocol, the sensor node only
sends data to the cluster head (CH), thus conserving energy, whereas, in the non -
hierarchal protocol, the sensor node sends information to the sink in single or
multi-hops and thus conserves more energy (SINGH, 2017) (TANWAR et al,
2014). It is the responsibility of the cluster coordinator to not only collect the
data but also to send data to BS. This aggregation of collected data can conserve
a good amount of energy (MITTAL et al, 2011) (MEHRA et al, 2015). This
literature mainly focuses on increasing the stability of LEACH (SAXENA et al,
2015) (MEHRA et al, 2018) protocol and improving its performance. The
LEACH protocol aims to improve the lifetime of the network by creating a
cluster and rotating CH role. The LEACH protocol has various limitations such
as farness from BS, energy dissipation CH node by cluster head, residual
energy, etc. (HEINZELMAN et al, 2000 ). It may be possible that due to the
randomness of the protocol the energy of CH may be completely depleted at a
location and point. This paper crosses all these boundaries and makes new
networks aware of more energy. Basically, the most important goal of this paper

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