The active badge location system
ACM Transactions on Information Systems (TOIS)
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
An IR Local Positioning System for Smart Items and Devices
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
SeRLoc: secure range-independent localization for wireless sensor networks
Proceedings of the 3rd ACM workshop on Wireless security
Walking GPS: A Practical Solution for Localization in Manually Deployed Wireless Sensor Networks
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
A high-accuracy, low-cost localization system for wireless sensor networks
Proceedings of the 3rd international conference on Embedded networked sensor systems
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
Transmission power control techniques for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
A survey of indoor positioning systems for wireless personal networks
IEEE Communications Surveys & Tutorials
iCAAS: An Interoperable and Configurable Architecture for Accessing Sensor Networks
International Journal of Adaptive, Resilient and Autonomic Systems
ROCRSSI++: An Efficient Localization Algorithm for Wireless Sensor Networks
International Journal of Adaptive, Resilient and Autonomic Systems
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Modern environmental monitoring systems are being envisioned as constellations of tiny smart sensors, densely deployed on the territory to be monitored. Data provided by such sensors is meaningless if it is not equipped with information about the context to which it refers. Such a context is mainly related to the location of sensors, which allows to manage collected data by means of Geographic Information Systems. Due to scarce resources of tiny sensors characteristics, localization services are usually range-free and based on simple measurements provided by the majority of radio chips, such as the Received Signal Strength Indicator (RSSI). However, existing solutions suffer of inaccuracy issues, due to the unreliability of the adopted indicators. This article proposes a range-free localization algorithm based on data fusion, which combines the RSSI with the Power of Transmission (PoT), by estimating the RSSI at different PoT levels. We show, through experimentation on real tiny devices, how this simple solution allows reducing the localization error to about 16% with respect to state-of-art algorithms.