A type of energy-efficient secure localization algorithm FM based in dynamic sensor networks

Wei-Cheng Xue,Yu Hua,Shan-He Wang,Bao Peng

doi:10.1186/s13638-020-1658-z

Abstract

Since dynamic wireless sensor networks are widely used in the military field, the location information is the basis of various applications, because each node in the dynamic sensor network is moving continuously, and it is quite possible to be attacked by various forms of information. Aiming at the problem of secure localization in dynamic sensor networks, a new secure localization algorithm—frequency modulation secure localization (FMSL)—for dynamic sensor networks is proposed with the support of FM signal and Monte Carlo method. The algorithm uses FM signals which are widely covered to locate randomly distributed nodes loaded with FM signal receiving module, filters some malicious attack anchors in the network, and uses the improved Monte Carlo algorithm to locate the nodes, so as to improve the positioning accuracy. Meanwhile, according to the moving path and the localization time, energy consumption of the network could be estimated and also give the sleep scheduling strategy for the node to be localized. The simulation results show that the FMSL algorithm can significantly improve the security performance and positioning accuracy of mobile sensor networks compared with the existing security positioning algorithms such as Monte Carlo and convex programming. In the process of motion, the positioning accuracy can reach less than 10%.

Highlights

1 Introduction The security, energy efficiency, and positioning accuracy of a positioning system are considered as the three main indicators for evaluating the positioning design of sensor networks [1,2,3]
Based on Frequency modulation (FM) signal and Monte Carlo algorithm, this paper proposes a secure localization algorithm, which has low complexity, low communication, and computational overhead and does not require any hardware environment to be deployed in advance
In the formula, j is the frequency used, i is the number of reference points, uji is the fingerprint data of the reference point of the jth frequency at the ith position, pi = (xi, yi) is the reference point position of the ith position, N is the total number of frequencies used, k is the total number of location reference points, and U is the FM

Summary

Introduction

The security, energy efficiency, and positioning accuracy of a positioning system are considered as the three main indicators for evaluating the positioning design of sensor networks [1,2,3]. The description of a mobile sensor network security positioning problem is as follows: let {(xi, yi), RSSIi, mi} denote the real position coordinates of node i, signal reception intensity value, and information string data sent to other nodes. The position coordinates, signal reception intensity, and information string data sent to other nodes after the attack are made into triples fð~xi; ~yiÞ; R~S~S~~Ii; m~ ig. When the network is attacked, the adversary may capture some of these anchor and propose incorrect data as reference information. For this reason, when calculating the location of unknown nodes, it is necessary to consider the reliability of the information provided by the anchor nodes. If the O of anchor node is in l position in the array, the corresponding weight of the credibility of anchor nodes is: ωo 1−

Establishment of fingerprint database

Trustworthiness weight of anchor node

Position filtering and position generation

Findings

Conclusions