Subscription or Fee Access
A Distributed Hybrid Taboo Search Localization Algorithm
Centralized positioning communication overhead is big and poor scalability, wireless sensor network that is resource-constrained and self-organized has some limitations. Through the positioning problem is transformed into unconstrained optimization problem, this paper proposes a distributed localization algorithm based on hybrid taboo search. To reduce the influence of the ranging error and obtain better neighborhood solution generated interval, designed a selection operator, select the appropriate beacon nodes to participate in orientation. Then, use of a beacon node information to obtain the initial solution. Finally, using the combined hybrid strategy of taboo search and simulated annealing to location optimization, further improve the positioning accuracy. In essence it is a kind of two phase refinement localization algorithm. Simulation shows that this algorithm can gain higher positioning accuracy under different noise factors and beacon nodes.
Wireless sensor network, Simulated annealing, Taboo search algorithm.
Disclaimer/Regarding indexing issue:
We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.