scholarly journals SVM+KF Target Tracking Strategy Using the Signal Strength in Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (14) ◽  
pp. 3832
Author(s):  
Xing Wang ◽  
Xuejun Liu ◽  
Ziran Wang ◽  
Ruichao Li ◽  
Yiguang Wu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Signal Strength ◽  
Threshold Value ◽  
Wireless Sensor ◽  
Support Vector ◽  
Tracking Accuracy ◽  
Multiple Paths ◽  
The Stability

Target Tracking (TT) is a fundamental application of wireless sensor networks. TT based on received signal strength indication (RSSI) is by far the cheapest and simplest approach, but suffers from a low stability and precision owing to multiple paths, occlusions, and decalibration effects. To address this problem, we propose an innovative TT algorithm, known as the SVM+KF method, which combines the support vector machine (SVM) and an improved Kalman filter (KF). We first use the SVM to obtain an initial estimate of the target’s position based on the RSSI. This enhances the ability of our algorithm to process nonlinear data. We then apply an improved KF to modify this estimated position. Our improved KF adds the threshold value of the innovation update in the traditional KF. This value changes dynamically according to the target speed and network parameters to ensure the stability of the results. Simulations and real experiments in different scenarios demonstrate that our algorithm provides a superior tracking accuracy and stability compared to similar algorithms.

Wireless Sensor Networks to Predict the Range Covered by the Priority Scheduling Algorithm for Multi-Target Tracking

2014 ◽  
Vol 687-691 ◽  
pp. 1071-1075
Author(s):  
Yong Long Zhuang ◽  
Xiao Lan Weng ◽  
Xiang He Wei
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Scheduling Algorithm ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Detection Range ◽  
Multi Target Tracking ◽  
The Relationship

Research on multi-target tracking wireless sensor networks, the main problem is how to improve tracking accuracy and reduce energy consumption. Proposed use of forecasting methods to predict the target state, the selection of target detection range forecast based on the relationship between states and between sensor nodes deployed. And in accordance with the selected detection range, to wake up and form a cluster to track the target. In multi-target tracking will use to adjust the detection range, time to time to separate the conflict node of conflict, in order to achieve a successful track multiple targets. Simulation results show that the proposed method can indeed improve the chances of success of the track.

scholarly journals Signal Strength based Self Reconfiguration to Ensure Reliability in Wireless Sensor Networks

2018 ◽  
Vol 10 (2) ◽  
pp. 725
Author(s):  
M.A. Manivasagam ◽  
T.V Ananthan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Simulation Analysis ◽  
Signal Strength ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Destination Node ◽  
Data Simulation ◽  
Programming Abstractions ◽  
The Stability

<span lang="EN-US">Providing reliability in Wireless sensor networks is considered to be a challenging task, due to the limited capabilities in terms of energy, power and memory. The applications of these systems run in sensors with low level programming abstractions, limited capabilities and routing protocols. In this paper, we propose a strategy to adjust radios in the sensor network depending on the signal strength of the neighboring nodes to ensure reliability using self reconfiguration (S2R2). Redundancy-based reliability is achieved by performing encoding/decoding either at the source and the destination node or each pair of communicating sensor nodes from the source to the destination. Along with the reliability, the link and the stability of the link are checked. The stability of the route makes the route a valid one to send data. Simulation analysis shows that the proposed mechanism performs better in terms of stability and reliability compared to the existing mechanism</span>

scholarly journals Energy-Efficient Node Scheduling Method for Cooperative Target Tracking in Wireless Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Weirong Liu ◽  
Yun He ◽  
Xiaoyong Zhang ◽  
Fu Jiang ◽  
Kai Gao ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Target Tracking ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Tracking Accuracy ◽  
Node Scheduling ◽  
Scheduling Method ◽  
Sample Interval

Using the sensor nodes to achieve target tracking is a challenging problem in resource-limited wireless sensor networks. The tracking nodes are usually required to consume much energy to improve the tracking performance. In this paper, an energy-efficient node scheduling method is proposed to minimize energy consumption while ensuring the tracking accuracy. Firstly, the Kalman-consensus filter is constructed to improve the tracking accuracy and predict the target position. Based on the predicted position, an adaptive node scheduling mechanism is utilized to adjust the sample interval and the number of active nodes dynamically. Rather than using traditional search algorithm, the scheduling problem is decomposed to decouple the sample interval and number of nodes. And the node index is mapped into real domain to get closed-form solution to decide the active nodes. Thus, the NP-complete nature is avoided in the proposed method. The proposed scheduling method can keep the tracking accuracy while minimizing energy consumption. Simulation results validate its effective performance for target tracking in wireless sensor networks.

scholarly journals A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Asmaa Ez-Zaidi ◽  
Said Rakrak
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Future Directions ◽  
Wide Range ◽  
Comprehensive Survey ◽  
The Subject ◽  
Intense Research

Wireless sensor networks have been the subject of intense research in recent years. Sensor nodes are used in wide range of applications such as security, military, and environmental monitoring. One of the most interesting applications in wireless sensor networks is target tracking, which mainly consists in detecting and monitoring the motion of mobile targets. In this paper, we present a comprehensive survey of target tracking approaches. We then analyze them according to several metrics. We also discuss some of the challenges that influence the performance of tracking schemes. In the end, we conduct detailed analysis and comparison between these algorithms and we conclude with some future directions.

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