SHARP: A New Approach to Relative Localization in Wireless Sensor Networks
ICDCSW '05 Proceedings of the Second International Workshop on Wireless Ad Hoc Networking - Volume 09
Robust distributed node localization with error management
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
A self-calibrating system of distributed acoustic arrays
A self-calibrating system of distributed acoustic arrays
Self-organization in Autonomous Sensor and Actuator Networks
Self-organization in Autonomous Sensor and Actuator Networks
Localization Algorithms and Strategies for Wireless Sensor Networks
Localization Algorithms and Strategies for Wireless Sensor Networks
Distributed graph layout for sensor networks
GD'04 Proceedings of the 12th international conference on Graph Drawing
Self-organised localisation in indoor environments using the ALF framework
International Journal of Communication Networks and Distributed Systems
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The demand for location awareness and, therefore, the demand for self-localization techniques is continuously increasing. As a result, a good number of systems and methods for self-localization have been developed. Almost every system described in the literature exploits specific hardware or scenario features to solve the positioning issue, e.g. by using anchor nodes, relying on distances or angles, and even focusing on quite different distances ranging from centimeters to several kilometers. In many cases, the metrics used to evaluate the localization quality have been chosen according to the scenario. In this paper, we thoroughly discuss the most frequently used metrics for evaluating the quality of self-localization techniques. According to our findings, careful handling of some commonly used metrics is strongly required. We further propose an area-based solution that is especially helpful to measure and to compare different localization systems, which only need exact localization in a local context independently from specific scenario or hardware requirements. In this paper, we try to shed light on the question how to compare those very different techniques. In particular, we suggest the use one of two attribute-independent metrics. The first one is a generalization of an already quite popular metric, the Global Energy Ratio (GER), and the latter, the Area Ratio (AR), is a new approach based on the covered area.