Node Selection in a Cooperating Position Finding Distributed System Concerning the Computational Complexity Reduction

Document Type : Original Article

Authors

1 PhD student, Faculty of Electrical and Computer Engineering, Shiraz University, Iran

2 Professor, Faculty of Electrical and Computer Engineering, Shiraz University, Iran

Abstract

Cooperative positioning utilizes information received from all the nodes in a network to estimate the position of a target node. This requires high amount of data exchange and data processing in high density networks. This paper proposes a low computational complexity algorithm to select a number of nodes among all possible nodes to cooperate in position finding. Position of nodes are estimated using both the distances between the target node and its cooperated nodes and also the information shared by these nodes. The nodes selection algorithm is proposed according to the Cramer-Rao Lower Bound, which considers the precision of distance measurements, the geometry of nodes and the uncertainty in the information shared by nodes. This fast computing algorithm reduces required computations without significantly decreasing the position estimation performance.

Keywords

References

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History

  • Receive Date: 11 December 2019
  • Revise Date: 06 March 2020
  • Accept Date: 26 March 2020
  • Publish Date: 20 February 2020

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