2021/07/04 by Abdulaziz M. Alqarni, Alqarni, Abdulaziz M., Thomas G. Robertazzi +1
Computer Science · Engineering · Mathematics · #Algorithm #Artificial intelligence #Computer science #Energy (signal processing) #Energy Efficient Wireless Sensor Networks #FOS: Electrical engineering #Focus (optics) #Heuristic #Integer programming #Linear programming #Mathematical optimization #Mathematics #Network Time Synchronization Technologies #Quality (philosophy) #Radar #Real-time computing #SIGNAL (programming language) #Selection (genetic algorithm) #Sensor Technology and Measurement Systems #Signal Processing (eess.SP) #Signal processing #Sonar #Telecommunications #eess.SP #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2107.01676
published in arXiv (Cornell University) (Cornell University)
arxiv created 2021/07/04 · openalex publication_date 2021/07/04 · arxiv updated 2021/07/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/06
The focus of this research is sensor applications including radar and sonar. Optimal sensing means achieving the best signal quality with the least time and energy cost, which allows processing more data. This paper presents novel work by using an integer linear programming "algorithm" to achieve optimal sensing by selecting the best possible number of signals of a type or a combination of multiple types of signals to ensure the best sensing quality considering all given constraints. A solution based on a heuristic algorithm is implemented to improve the computing time performance. What is novel in this solution is synthesis of an optimized signal mix using information such as but not limited to signal quality, energy and computing time.