Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks
ATEC '02 Proceedings of the General Track of the annual conference on USENIX Annual Technical Conference
Self-configuring localization systems: Design and Experimental Evaluation
ACM Transactions on Embedded Computing Systems (TECS)
Wireless sensor network localization techniques
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
IEEE Communications Magazine
A localization strategy based on n-times trilateral centroid with weight
International Journal of Communication Systems
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In sensor networks 802.15.4 WPAN, the most common technique used to calculate the distance between two nodes is the RSSI (Received Signal Strength Indicator) technique, because it has the advantage of not requiring additional hardware and synchronization on nodes. Some studies show that the RSSI index is fairly unreliable and often produces significant errors about the location of the nodes in the network. In this paper an approach to the problem of nodes localization in outdoor environment is proposed. In order to obtain more accurate distance estimation a scenario dependent ranging technique has been adopted. The goodness of the ranging model is estimated through a comparison with the classic model based on the path-loss log-distance; then two localization techniques such as Triangulation and RocRssi+ are used in order to test the improvement obtained for the estimated positions of nodes within the network.