Abstract
Existing technologies are inapplicable to localization in constrained space, especially when considering environmental factors. These methods with low localization accuracy cannot meet the location requirements in constrained space, for they usually call for lots of computation time and process resources. Moreover, they are easily interfered by environmental factors and attacks from other users. Consequently, in order to improve location accuracy in constrained space, an asymmetric event-driven localization algorithm (AELA) is proposed in this paper, which is based on the combination of event distribution and anchor node achieving a distributed location estimation strategy, so that it can satisfy the localization requirement of constrained space and achieve the high-accuracy localization with a small amount of events and anchor nodes. Meanwhile, to improve the accuracy of the algorithm, a set of candidate events are adopted to prune the event which does not meet location accuracy requirements. We finally perform experiments in indoor corridors, and the results show that the proposed algorithm has higher performances not only on localization accuracy and energy consumption but also on anti-interference ability than RSSI and MSP.
Highlights
With the development of sensing technology in different fields such as basic service and national defence, location technology becomes a hot research field
As the sensing technology is applied in some scenarios like monitoring forest fire, road traffic, and coal mine tunnels, the requirement of localization algorithm has not been confined to the outdoor environment but expanded to constrained space, such as indoor corridors, room full of obstacles, coal mine tunnels, and archaeological sites
We propose an asymmetric event-driven localization algorithm that can be deployed in constrained space well, which has higher performances on localization accuracy, energy consumption, and anti-interference ability than the existing methods
Summary
With the development of sensing technology in different fields such as basic service and national defence, location technology becomes a hot research field It is directly correlated with many applications, which leads to the fact that high localization accuracy is helpful for detecting the position coordinates of an event or a node, and it is the foundation of the routing and coverage technology in WSN. Sensor node is limited by its energy and poor computing ability These all make many localization technologies applied to outdoor cannot be directly applied to indoor. Some researchers fuse the methods mentioned above These methods all have low localization accuracy and cannot satisfy the actual requirements due to the interference of various influence factors in constrained space as well as unstable network. We deploy our experiment from multiple aspects to analyse the algorithm and prove the feasibility of the algorithm
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