Dynamic fine-grained localization in Ad-Hoc networks of sensors
Proceedings of the 7th annual international conference on Mobile computing and networking
The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Recursive Position Estimation in Sensor Networks
ICNP '01 Proceedings of the Ninth International Conference on Network Protocols
Range-free localization schemes for large scale sensor networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Novel self-configurable positioning technique for multihop wireless networks
IEEE/ACM Transactions on Networking (TON)
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
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Wireless sensor network has a wide range of applications in the fields of national defense, industry and agriculture, environmental monitoring and so on. The localization of sensor nodes is the basis of these applications. A new localization algorithm (wbf-Euclidean) is proposed in this paper, which is based on Euclidean algorithm. This algorithm utilizes iterative approach to increase localization coverage and sets believable factor threshold to avoid using nodes' outlier information. In addition, it uses combination trilateration method to obtain the set of coordinate estimates and then calculate the weighted mean to improve localization accuracy. Simulation results show that it is efficient to prevent large localization errors from spreading through the networks, and it is fit for the large scale sensor networks.