Scientific Computing: An Introductory Survey
Scientific Computing: An Introductory Survey
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
Localization from mere connectivity
Proceedings of the 4th ACM international symposium on Mobile ad hoc networking & computing
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
Layered Diffusion based Coverage Control in Wireless Sensor Networks
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics)
Refining hop-count for localisation in wireless sensor networks
International Journal of Sensor Networks
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Localization is one of the most important research issues in Wireless Sensor Networks (WSNs). Hop-count based localization has been proposed as a cost-effective alternative to the expensive hardware-based localization schemes. In this paper, we propose a new method to estimate distances between anchors and nodes based on hop-count information. Localization is then achieved using the estimated distances. Simulation results show that the performance of our proposed algorithm is much better than that of the DV-hop algorithm [1] in terms of the node-to-anchor distance estimation and localization accuracy, and the improvement is proportional to the node density.