An Improved Algorithm of Sensors Localization in Wireless Sensor Network
X Chen, J He, B Lei - … and Education: International Conference, CSEE 2011 …, 2011 - Springer
X Chen, J He, B Lei
Advances in Computer Science, Environment, Ecoinformatics, and Education …, 2011•SpringerTo improve the location precision of nodes and simplify localization algorithm in WSN, this
paper analyzed the reasons of localization error caused by the degraded state when using
the least square algorithm, and then proposed an improved algorithm with a new participle
given to choose benchmark anchor node. So, we compared the three localization algorithms
which are the basic least square algorithm, the algorithm choosing the nearest node as the
benchmark anchor node in LSM and the algorithm choosing the synthetic nearest node as …
paper analyzed the reasons of localization error caused by the degraded state when using
the least square algorithm, and then proposed an improved algorithm with a new participle
given to choose benchmark anchor node. So, we compared the three localization algorithms
which are the basic least square algorithm, the algorithm choosing the nearest node as the
benchmark anchor node in LSM and the algorithm choosing the synthetic nearest node as …
Abstract
To improve the location precision of nodes and simplify localization algorithm in WSN, this paper analyzed the reasons of localization error caused by the degraded state when using the least square algorithm, and then proposed an improved algorithm with a new participle given to choose benchmark anchor node. So, we compared the three localization algorithms which are the basic least square algorithm, the algorithm choosing the nearest node as the benchmark anchor node in LSM and the algorithm choosing the synthetic nearest node as the benchmark anchor node in LSM. The simulation results indicate that the proposed algorithm can improve the location precision.
Springer
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