In the past few years, the demand for wireless sensor networks has increased significantly due to its small size, low cost and high efficiency. It has been used in many applications and in multiple fields. Owing to the ever-increasing number of applications using the wireless sensor network, it was necessary to find solutions to the problems and challenges faced by the wireless sensor network. One of the important challenges faced by Wireless Network Sensor is coverage. The nodes bear the actual liability to cover the pre-defined region. That's means the sensor nodes is placed in such a way as to achieve the maximal coverage of the area. Artificial alga algorithm (AAA), which is a very effective optimization method, has been used to find the suitable solutions for the coverage problem. The results were compared with the results of three algorithms (Artificial bee colony algorithm (ABC), particle swarm optimization algorithm (PSO) & Differential evolution Algorithm (DE)) to address the coverage problem. AAA proved to be more effective in solving the coverage problem. The simulation of the algorithms is performed by MATLAB and the results are analyzed to show the effectiveness of the proposed algorithm.
In the past
few years, the demand for wireless sensor networks has increased significantly
due to its small size, low cost and high efficiency. It has been used in many
applications and in multiple fields. Owing to the ever-increasing number of
applications using the wireless sensor network, it was necessary to find
solutions to the problems and challenges faced by the wireless sensor network.
One of the important challenges faced by Wireless Network Sensor is coverage.
The nodes bear the actual liability to cover the pre-defined region. That's
means the sensor nodes is placed in such a way as to achieve the maximal
coverage of the area. Artificial alga algorithm (AAA), which is a very
effective optimization method, has been used to find the suitable solutions for
the coverage problem. The results were compared with the results of three
algorithms (Artificial bee colony algorithm (ABC), particle swarm optimization
algorithm (PSO) & Differential evolution Algorithm (DE)) to address the
coverage problem. AAA proved to be more effective in solving the coverage
problem. The simulation of the algorithms is performed by MATLAB and the
results are analyzed to show the effectiveness of the proposed algorithm.
Primary Language | English |
---|---|
Journal Section | PAPERS |
Authors | |
Publication Date | December 1, 2019 |
Submission Date | April 9, 2019 |
Acceptance Date | May 13, 2019 |
Published in Issue | Year 2019 Volume: 4 Issue: 2 |
The Creative Commons Attribution 4.0 International License is applied to all research papers published by JCS and
A Digital Object Identifier (DOI) is assigned for each published paper.