Architectural Model of Localization in Multi-Scale Communication for Wireless Sensor Networks
نویسندگان
چکیده
There are several range-based localization algorithms that identify sensor’s positions for different wireless sensor networks. In this paper we propose the approach that highlights a new method of localization scheme to achieve high localization accuracy in the presence of radio irregularity and obstacles effects for wireless sensor networks. We present the evaluation of complex localization scenario, by applying convex localization estimation algorithm with possible orientation of obstacle using Euclidean and Interior point algorithms for nonideal transmission networks. It has been observed in the simulation results that the proposed scheme significantly improve the localization accuracy. The range-free localization algorithms evaluate the node ranging error accuracy in anisotropic networks to solve the localization inequalities problem when the feasible set is empty. Study demonstrates the simulation results for the effectiveness of this algorithm. Furthermore, this scheme evaluate infeasible points caused by a complex radio various rigid statistical analysis to validate the results.
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