The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Range-free localization and its impact on large scale sensor networks
ACM Transactions on Embedded Computing Systems (TECS)
Distance aproximator using IEEE 802.11 received signal strength and fuzzy logic
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Computational Intelligence - Volume Part II
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Thanks to the development of wireless communication and sensor technology, a smart object that is embedded sensors and/or communication equipment in objects that we use in daily lives is researched. Also the Internet of Things (IoT) is a networking technology by using the smart objects and attracts high attention. Furthermore, a smart home which consists of these technologies is expected to be spread widely. In the smart home, it is important to get the information of location/position accurately in order to provide services based on the information of person or object. One of the most popular methods for estimating the position of person or object, the Receive Signal Strength Indicator (RSSI) method is used for many systems. RSSI method uses a behavior that strength of a signal from beacon node is inversely proportional to distance. However, the location of the wireless nodes which receive a signal has to fix and be discovered in advance. Therefore if the nodes are moved from an original position, the person or object cannot be detected accurately. Accordingly, we propose a method that estimating the positions of moved nodes and updating the position information by adding node for the RSSI positioning method. Currently, we have performed preliminary implementation of the system. In the future we will finish the implementation of the methods designed in the paper and evaluate the methods in details.