Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
The Mobile Communications Handbook
The Mobile Communications Handbook
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
GPS-free Positioning in Mobile Ad Hoc Networks
Cluster Computing
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
Low-Power Wireless Sensor Networks
VLSID '01 Proceedings of the The 14th International Conference on VLSI Design (VLSID '01)
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Resilient Localization for Sensor Networks in Outdoor Environments
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
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
The Radial Sweep Algorithm for Constructing Triangulated Irregular Networks
IEEE Computer Graphics and Applications
Improving Localization in Geosensor Networks through Use of Sensor Measurement Data
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
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Large amounts of cheap and easily deployable wireless sensors enable area-wide monitoring of both urban environments and inhospitable terrain. Due to the random deployment of these sensor nodes, one of the key issues is their position determination. Noisy distance measurements and the highly limited resources of every sensor node, due to tiny hardware and small battery capacity, demand the development of robust, energy aware, and precise localization algorithms. We believe this can be achieved by appropriately distributing the complex localization task between all participating nodes. Therefore, we use a linearization tool to linearize the arising non-linear system of equations into a linear form that can be solved by a distributed least squares method. It is shown in this paper that we can save with this new approach more than 47% of computation cost whilst maintaining a low network traffic. Additionally, we describe memory optimizations to process the complex matrix operations with only a few kilobyte of memory on the sensor node.