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COMBINING LEACH, PEGASIS HIERARCHICAL PROTOCOL
AND CONSTRAINT DISTANCE TO INCREASE THE
LIFETIME OF WIRELESS SENSOR NETWORKS
HASSAN OUDANI, SALAH-DDINE KRIT & LAHOUCINE EL MAIMOUNI
Laboratory of Engineering Sciences and Energy, Polydisciplinary Faculty of Ouarzazate,
Ibn Zohr University, Agadir, Morocco
ABSTRACT
Energy efficiency is one of the most significant problems of Wireless Sensor Networks (WSNs) to decrease the
consumption of energy of each nod and increase the network sensor’s lifetime. To reduce energy and protect all data
diffuse to the sink (Base Station) in WSN, numerous routing protocols are arranged. The hierarchical routing protocols
is a broadly accepted result for decreasing the consumption of energy for each nod in WSN. Reduction in energy
consumption of nods automatically increases the network’s lifetime. This is the reason why it is very significant to select
directing protocols that consume fewer energy to increase the life time of WSN. In this study, we planned a dependable
and power efficient routing protocol and it is called Combining, LEACH, PEGASIS Hierarchical Protocol and
Constraint Distance (CLPHPD). First, we study and relate the outcomes replication of approaches in LEACH (Low-
Energy Adaptive Clustering Hierarchy) and PEGASIS (Power-Efficient Gathering in Sensor Information System) in
terms of consumption of energy by each node of sensor network, and detailed our CLPHPD approaches, and lastly relate
our results simulation with available procedures using Matlab Simulink. Trial results display that our proposed
CLPHPD accomplishes better than the already existing state-of-the-art protocols (i.e. LEACH, PEGASIS) in terms of
number of live nods during number of rounds, stability period and increase in the WSN lifetime.
KEYWORDS: WSN, Leach, Pegasis, Lifetime, CLPHPD & Sink
Received: Apr 29, 2018; Accepted: May 19, 2018; Published: Jul 11, 2018; Paper Id.: IJMPERDSPL201868
1. INTRODUCTION
The important constraint in sensor networks is the consumption of energy by each node that influence the
network lifetime, because the WSNs nodes are regularly drove by batteries with limited capacity and it is always
not possible to refill the power [1]. The failure of the energy sensor can expressively change the network topology
and execute an exclusive network restructuring [2]. Therefore, the applications are stuck by inadequate energy
supply, and one design test in sensor networks is to save inadequate energy resources to lengthen the lifetime of
network [3]. For that many WSN structures must be considered for efficient network deployment such as energy
efficient, low cost, communication capabilities security and privacy, computational power, distributed processing
and sensing, self-organization, dynamic network topology, application oriented, multi-hop communication, robust
operations and small physical size [4].
Sensor networks have emerged as a promising tool for monitoring the physical worlds, utilizing self
organizing networks of battery-powered wireless sensors that can sense, process and communicate. The wireless
Original Article
International Journal of Mechanical and Production
Engineering Research and Development (IJMPERD)
ISSN (P): 2249-6890; ISSN (E): 2249-8001
Vol. 8, Issue 4, Aug 2018, 571-581
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