Geographic routing without location information
Proceedings of the 9th annual international conference on Mobile computing and networking
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Performance Analysis of Communications Networks and Systems
Performance Analysis of Communications Networks and Systems
Localization in wireless sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
Adaptive Distance Estimation and Localization in WSN using RSSI Measures
DSD '07 Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools
Organizing a global coordinate system from local information on an ad hoc sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Distributed geometric distance estimation in ad hoc networks
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Today, wireless networks are connecting most of the devices around us. The scale of these systems demands for novel techniques to maintain availability for various services such as routing, localization, context detection etc. Distance estimation is one of their most important building blocks. The majority of current algorithms, presumes knowledge about node position via systems such as GPS. While for some application scenarios this approach is feasible, for a lot of cases it suffers from frequent unavailability and high costs in terms of energy consumption. The main contribution of this paper is the introduction of a novel distributed algorithm called GDE, for the estimation of distances in large-scale wireless networks. GDE is a mechanism which estimates distances between nodes based solely on local interactions. The evaluation by means of simulations shows that GDE succeeds in estimating the distance between nodes in both static and mobile scenarios with considerably high accuracy, even under the influence of different kinds of environment parameters, such as node density, node speed, spatial node distribution, multicast percentage, etc.