Browsing by Author "Özdaǧ, R."

Now showing 1 - 2 of 2

The Optimization of Network Lifetime With Sensor Deployment for Target Coverage Problem in Wireless Sensor Networks
(Gazi Universitesi Muhendislik-Mimarlik, 2017) Özdaǧ, R.
Network lifetime is a critical factor in determining the effectiveness of Wireless Sensor Networks (WSNs). The optimization of the battery lives of the sensor nodes following the targets in terms of continuity of WSNs coverage in military and civil applications plays an important role in extending the network's lifetime. Since the sensor nodes that constitute WSNs have limited battery life, the energy of the sensors gradually decreases as a result of communicating among themselves and perceiving field of interest. Ultimately, the node consumes its energy completely and causes WSN to fail to function. For this reason, the optimization of the lifetime of WSNs has been one of the most frequently studied topics in the literature.In this article, it was aimed to optimize the lifetime of the network by performing dynamic distributions of the nodes provided that the coverage requirements (1 ≤ k ≤ 4) of the maximum four sensor nodes are met to find solution to the target coverage problem in WSNs. It was aimed to determine the accessible lifetime of the network by calculating the remaining battery life of the nodes and the upper limit of the network lifetime when the coverage requirements of the targets are met. In addition, Electromagnetism-Like (EM) algorithm, which is meta-heuristic in performing the dynamic distributions of sensor nodes, was taken as a basis, and a new energy-efficient algorithm was developed. The accessible network lifetimes calculated with this algorithm were compared with the Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms in the literature. According to the obtained simulation results, it was found that the algorithm developed in reaching the upper limit of the network lifetime gave more optimum results.
The Solution of the K-Coverage Problem in Wireless Sensor Networks
(Institute of Electrical and Electronics Engineers Inc., 2016) Özdaǧ, R.
The establishment of wireless connection area and the continuation of it have been a significant problem in Wireless Sensor Networks (WSN) up to now because WSNs enable us to watch various environments with military and civil applications and at the same time, they give the opportunity of evaluating the information gained from such environments through the transmission of it to a certain control point. Thus, k-coverage problem in dynamic deployment of sensor nodes in WSNs is one of the reasons that affetcs the performance and the continuity of the network. For this reason; the algorithm Maximum Target Detection Algorithm based on Electromagnetism-Like (MTDA-EM), which enables us to detect all the targets in the related area at maximum level and additionally provides the dynamic deployment of the sensors with overlap of the minimum number of nodes, has been proposed. MTDA-EM has been improved based on Electromagnetism-Like (EM) algorithm which is metaheuristic. The aim in proposed MTDA-EM; is to decrease the energy consumption of the nodes and increase the lifetime of the network by optimizing the k-coverage degrees of the sensors while the dynamic deployment of the nodes in the related area is being made. Simulation results; it has been observed that the improved MTDA-EM has provided optimum results in terms of solving the problems of k-coverage. © 2016 IEEE.