Optimal planning of sensor networks for asset tracking in hospital environments

Extending Network Lifetime of Wireless Sensor Networks

“…The authors reported computational results that show that this algorithm outperforms MCMCC [16] in terms of the number of covers and speed. Recently, Ting and Liao [4] developed a memetic algorithm which uses the Darwinian evolutionary scheme and Lamarckian local enhancement to search for optima given the considerations of global exploration and local exploitation.…”

“…Recently, Ting and Liao [4] developed a memetic algorithm which uses the Darwinian evolutionary scheme and Lamarckian local enhancement to search for optima given the considerations of global exploration and local exploitation. They reported results of computational tests which show that the algorithm outperforms several heuristicssuch as MCMCC [16] and iGA [18].…”

“…The problem of determining the maximum number of covers to extend network lifetime has been modeled as the SET K-COVER problem by Slijepcevic and Potkonjak [16]. Several algorithms have been proposed to solve the SET K-COVER problem.…”

“…First, Slijepcevic and Potkonjak [16] proposed a heuristic to solve the problem, called the Most Constrained Minimally Constraining Covering heuristic (MCMCC). The basic idea of the heuristic is to minimize the coverage of sparsely covered areas within one cover.…”

RFID - Hybrid Scene Analysis-Neural Network system for 3D Indoor Positioning optimal system arrangement approach

“…Systems based on this technology are widely used in healthcare facilities [1][2], hospitals [3] and kindergartens [4]. Such systems can be used for emergency monitoring of tumble detections of solitary people [5].…”