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Optimizing K-coverage of mobile WSNs
Abstract Recently, Wireless Sensor Networks (WSNs) are widely used for monitoring and
tracking applications. Sensor mobility adds extra flexibility and greatly expands the …
tracking applications. Sensor mobility adds extra flexibility and greatly expands the …
K-coverage model based on genetic algorithm to extend WSN lifetime
Currently, wireless sensor networks (WSNs) are extensively used in target monitoring
applications. Classical target coverage methods often assume that the environment is …
applications. Classical target coverage methods often assume that the environment is …
An improved dynamic deployment technique based-on genetic algorithm (IDDT-GA) for maximizing coverage in wireless sensor networks
Recently, many researchers have paid attention to wireless sensor networks (WSNs) due to
their ability to encourage the innovation of the IT industry. Although WSN provides …
their ability to encourage the innovation of the IT industry. Although WSN provides …
Node placement optimization under Q-Coverage and Q-Connectivity constraints in wireless sensor networks
Target coverage and connectivity problems are major challenges for wireless sensor
networks (WSNs). In practice, when different targets demand different priority levels, each …
networks (WSNs). In practice, when different targets demand different priority levels, each …
An Efficiency Boost for Genetic Algorithms: Initializing the GA with the Iterative Approximate Method for Optimizing the Traveling Salesman Problem—Experimental …
The genetic algorithm (GA) is a well-known metaheuristic approach for dealing with complex
problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in …
problems with a wide search space. In genetic algorithms (GAs), the quality of individuals in …
[HTML][HTML] Genetic algorithm approach to the 3D node localization in TDOA systems
Positioning asynchronous architectures based on time measurements are reaching growing
importance in Local Positioning Systems (LPS). These architectures have special relevance …
importance in Local Positioning Systems (LPS). These architectures have special relevance …
Emergent IoT wireless technologies beyond the year 2020: A comprehensive comparative analysis
Low-power wide area networks (LPWANs) has recently emerged as a popular long-range
and low-speed radio communication technology as a result of the important growth of the …
and low-speed radio communication technology as a result of the important growth of the …
Point coverage with heterogeneous sensor networks: A robust optimization approach under target location uncertainty
In this study, we consider the point coverage problem and aim to locate heterogeneous
sensor networks under target uncertainty. Target location uncertainty phenomenon is …
sensor networks under target uncertainty. Target location uncertainty phenomenon is …
[HTML][HTML] Hybrid memetic algorithm for the node location problem in local positioning systems
Local Positioning Systems (LPS) have shown excellent performance for applications that
demand high accuracy. They rely on ad-hoc node deployments which fit the environment …
demand high accuracy. They rely on ad-hoc node deployments which fit the environment …
Local wireless sensor networks positioning reliability under sensor failure
Local Positioning Systems are collecting high research interest over the last few years. Its
accurate application in high-demanded difficult scenarios has revealed its stability and …
accurate application in high-demanded difficult scenarios has revealed its stability and …