Abstract
Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges. Energy conservation plays a fundamental role in WSNs since such sensor networks are designed to be located in dangerous and non-accessible areas and has gained popularity since the last decade. The main issue of Wireless Sensor Network is energy consumption. Therefore, management of energy consumption of the sensor node is the main area of our research. Sensor nodes use non-changeable batteries for power supply and the lifetime of Sensor node greatly depends on these batteries. The replacement of these batteries is very difficult in many applications, such as an alternative solution to this problem is to use Energy Harvesting system in Wireless Sensor Network to provide a permanent power supply to sensor nodes. This process of extracting energies from nature and converting it into electrical energy is called energy harvesting. Energy can be harvested from the environment for sensor nodes. There are many sources of energies in nature like solar, wind and thermal which can be harvested and used for WSNs. In this research, we suggest to use energy harvesting system for Cluster Heads in a clustering based Wireless Sensor Networks. We will compare our proposed technique to a well-known clustering algorithm Low Energy Adaptive Cluster Hierarchy (LEACH).
Highlights
Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges
A Wireless Sensor Network (WSN) is composed of a large number of small dispersed devices known as sensor nodes that are closely deployed in the environment sense changes
The performance of our proposed technique Energy harvesting (EH)-Clustering is evaluated regarding energy consumption, throughput and lifetime of the sensor network and the results are compared with Low Energy Adaptive Cluster Hierarchy (LEACH) protocol
Summary
Several challenges still need to be faced by WSNs. The main challenges and essential design limitation which affect the performance of Wireless Sensor Network are discussed here [5]: I. A base station may be either static or dynamic sensor node and provides wireless connectivity to its users. It is usually more capable than other sensor nodes in the WSN [1], [2] (see Fig. 1). In Wireless Sensor Network, energy consumption is a vital challenge for sensor node for sensing and transmitting the data to the closest SN or the base station. A group of sensor nodes is combined into a portable object, like a robot or automobile This results in constant sensor network topologies being altered, which require repetitive changes. There is a need for routing (e.g., modifying neighbour lists), Media Access Control (e.g., modifying density), and data gathering
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