Parallel Computing Approaches to Sensor Network Design Using the Value Paradigm

One previous paradigm was based on sensor positioning selection to allow key variable observability. Later, the problem was posed as a minimum cost problem subject to sensor network performance precision and gross error robustness first and accuracy as a replacement later. This paper presented two methods to solve the problem and the authors concluded that their performance was acceptable for small and medium size problems, but not for large problems. This paper use parallel computing approaches for large problems.