Abstract:The widely applied location-based services require a high standard for positioning technology. Currently, outdoor positioning has been a great success; however, indoor positioning technologies are in the early stages of development. Therefore, this paper provides an overview of indoor fingerprint positioning based on Wi-Fi. First, some indoor positioning technologies, especially the Wi-Fi fingerprint indoor positioning technology, are introduced and discussed. Second, some evaluation metrics and influence factors of indoor fingerprint positioning technologies based on Wi-Fi are introduced. Third, methods and algorithms of fingerprint indoor positioning technologies are analyzed, classified, and discussed. Fourth, some widely used assistive positioning technologies are described. Finally, conclusions are drawn and future possible research interests are discussed. It is hoped that this research will serve as a stepping stone for those interested in advancing indoor positioning.

Since the node's energy dissipation model is not taken in to account in the traditional coverage models, based on the collaboration coverage model, the energy efficient hierarchical collaboration coverage model is proposed, which can evenly balance the energy dissipation among different layers in the target monitor area. This paper solves two specific problems in the ant colony solution. They are a formula of heuristic factor calculating for the model and the upper and lower bounds of node numbers. Simulations in Matlab show that the proposed model is more suitable for practical deployment which can evidently prolong the network lifetime.