Abstract
Nowadays, the expansion of desert areas has become one of the main problems in arid areas due to various reasons such as rising temperatures and vegetation fires. Establishment of wireless sensor networks in these areas can accelerate the process of environmental monitoring and integrate temperature and humidity information sending to base stations in order to make basic decisions on desertification. The main problem in this regard is the energy limitation of sensor nodes in wireless sensor networks, which is one of the main challenges in using these nodes due to the lack of a fixed power supply. Because the node consumes the most energy during data transmission, the node that transmits the most data or sends the packets over long distances runs out of energy faster than the others and the network work process is disrupted. Therefore, in this study, a density-based clustering approach is proposed to integrate data collected from the environment in arid areas for desertification. In the proposed method at each step, the node that has the most residual energy and is highly centralized will be selected to transfer information. The results of experiments for evaluating the performance of the proposed method show that the proposed method balances the energy consumption of the nodes and optimizes the lifespan of the nodes in the wireless sensor network installed in the arid area.
Highlights
In arid areas, due to the high temperature of the area and direct sunlight, the existing plant tissue is at risk of fire
It is essential to use different methods to save energy when performing processes and communications (ii) Further, the lifespan of sensor nodes is highly dependent on battery life; clustering of wireless sensor nodes in order to transfer the sensed information to the nearest hole and the base station can be very effective in reducing energy consumption, which is a reason for the need for this research
The contributions of this paper are as follows: (i) Proposing a novel clustering method for wireless sensor nodes in order to transfer the sensed information faster to the hole and the base station (ii) The use of a proposed method for reducing energy consumption and increasing the lifespan of sensors in Wireless sensor networks (WSNs), which are the main purposes of this research (iii) We have used density-based clustering in environmental observer sensor networks in the direction of desertification in which the selection of the cluster head node in a comparative way to create a balance between distance and residual energy between nodes
Summary
Due to the high temperature of the area and direct sunlight, the existing plant tissue is at risk of fire. It is essential to use different methods to save energy when performing processes and communications (ii) Further, the lifespan of sensor nodes is highly dependent on battery life; clustering of wireless sensor nodes in order to transfer the sensed information to the nearest hole and the base station can be very effective in reducing energy consumption, which is a reason for the need for this research. (i) Proposing a novel clustering method for wireless sensor nodes in order to transfer the sensed information faster to the hole and the base station (ii) The use of a proposed method for reducing energy consumption and increasing the lifespan of sensors in WSN, which are the main purposes of this research (iii) We have used density-based clustering in environmental observer sensor networks in the direction of desertification in which the selection of the cluster head node in a comparative way to create a balance between distance and residual energy between nodes. We will explain in detail the simulation performed to evaluate the performance of the proposed method, and the fifth section will include the conclusion
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