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
Improving Localization in Geosensor Networks through Use of Sensor Measurement Data
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Characterizing the energy efficiency of localization algorithms in wireless sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Minimizing cost of scalable distributed least squares localization
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
sDLSnd- scalable distributed least squares localization with reduced complexity
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Improvements on scalable distributed least squares localization for large wireless sensor networks
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Hi-index | 0.00 |
Localizing sensor nodes is essential due to their random distribution after deployment. To reach a long network lifetime, which strongly depends on the limited energy resources of every node, applied algorithms must be developed with an awareness of computation and communication cost. In this paper we present a new localization method, which places a minimum computational requirement on the nodes but achieves very low localization errors of less than 1%. To achieve this, we split the complex least squares method into a less central precalculation and a simple, distributed subcalculation. This allows precalculating the complex part on high-performance nodes, e.g. base stations. Next, sensor nodes estimate their own positions by simple subcalculation, which does not exhaust the limited resources. We analyzed our method with three commonly used numerical techniques – normal equations, qr-factorization, and singular-value decomposition. Simulation results showed that we reduced the complexity on every node by more than 47% for normal equations. In addition, the proposed algorithm is robust with respect to high input errors and has low communication and memory requirements.