Abstract
Wireless sensor network (WSN) plays a major role in the modern world. It is a useful technology for sending and receiving data from several parts of the system using mini sensor nodes that are distributed over a wide area. These nodes are capable of performing several data operations like sensing the environment, gathering, processing the data and other operations. They receive the essential energy for performing these processes from the batteries embedded in these nodes. In many applications, the sensor nodes are small equipped with a small size battery of little energy. It is very important to reduce energy consumption and to make the lifetime of the network as long as possible. For this purpose, the Low Energy Adaptive Clustering Hierarchy (LEACH) routing protocol has been developed. In this paper, a modified model of LEACH protocol is developed to further reduce energy consumption and consequently, increasing the lifetime of the network.
Highlights
Wireless Sensor Networks (WSN) are decentralized networks that got significant attention for their wide scope of applications such as health, smart buildings, security, and agriculture monitoring [1]
Many modifications were done to Low Energy Adaptive Clustering Hierarchy (LEACH) to increase the network lifetime or decrease the energy consumption, for example in [7] a centralized LEACH was developed by distributing the Clustering Hierarchy (CH) nodes all over the network
The I-LEACH is compared with the classic LEACH
Summary
Wireless Sensor Networks (WSN) are decentralized networks that got significant attention for their wide scope of applications such as health, smart buildings, security, and agriculture monitoring [1]. Many modifications were done to LEACH to increase the network lifetime or decrease the energy consumption, for example in [7] a centralized LEACH was developed by distributing the Clustering Hierarchy (CH) nodes all over the network. In [11] a new modification of protocols was presented called EB-LEACH which uniformly distributes CHs all over the network and improves the lifetime of WSN, the energy between clusters was not balanced in this method.
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