A Lightweight Collaborative Fault Tolerant Target Localization System for Wireless Sensor Networks

Merhi, Zaher; El-Gamel, Mohamed; Bayoumi, Magdy

doi:10.1109/tmc.2009.81

Cited by 57 publications

(30 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our opinion, the suspicious node's neighbor nodes are the good choice. On spatial correlation [6][7] and temporal correlation [8], the node's sensing data should be similar to its neighbor node's sensing data in most time. If one node is to be compromised, its neighbor node first know that.…”

Section: Discussionmentioning

confidence: 99%

Detecting Compromised Sensor Nodes with Group Verification

Yuan¹,

Zhou²

2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

View full text Add to dashboard Cite

Abstract. To detect compromised sensor node, current solutions fail to resist the collusion attack. To address it, in this paper, we propose a novel solution called group verification. The key idea of group verification is that neighbor nodes and sink node cooperate to detect the compromised node. If one sink node want to check one suspicious node, every neighbor node contribute to pose a question for the suspicious node with secret sharing scheme, and sink node introduces its random number into the question. Thus one compromised neighbor node fail to disturb the question distribution. To expose illegal question, every question is accompanying with one checking token which is generated with one private checking key. The suspicious node recovers the question by collecting enough shares. After that, the suspicious node floods the answer, and its neighbor nodes all verify the answer with the help of sink node. Our discussion shows our solution is capable of detecting the collusion attack.

show abstract

Section: Discussionmentioning

confidence: 99%

Detecting Compromised Sensor Nodes with Group Verification

Yuan¹,

Zhou²

2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

View full text Add to dashboard Cite

show abstract

“…As WMSNs are associated with different applications which have different data types, data fault-tolerance will vary from applications to applications. Most of the fault-tolerant techniques [12], [13] make use of temporal or spatial correlation, and statistical characteristics to reduce the impact of erroneous data. In yet another work [14], we designed a data fusion routing algorithm, called Adaptive Fusion Steiner Tree (AFST), for data gathering with energy efficiency.…”

Section: Related Workmentioning

confidence: 99%

A Trust-Based Framework for Fault-Tolerant Data Aggregation in Wireless Multimedia Sensor Networks

Sun

Luo

Das

2012

IEEE Trans. Dependable and Secure Comput.

100

View full text Add to dashboard Cite

For wireless multimedia sensor networks (WMSNs) deployed in noisy and unattended environments, it is necessary to establish a comprehensive framework that protects the accuracy of the gathered multimedia information. In this paper, we jointly consider data aggregation, information trust, and fault tolerance to enhance the correctness and trustworthiness of collected information. Based on the multilayer aggregation architecture of WMSNs, we design a trust-based framework for data aggregation with fault tolerance with a goal to reduce the impact of erroneous data and provide measurable trustworthiness for aggregated results. By extracting statistical characteristics from different sources and extending Josang's trust model, we propose how to compute self-data trust opinion, peer node trust opinion, and peer data trust opinion. According to the trust transfer and trust combination rules designed in our framework, we derive the trust opinion of the sink node on the final aggregated result. In particular, this framework can evaluate both discrete data and continuous media streams in WMSNs through a uniform mechanism. Results obtained from both simulation study and experiments on a real WMSN testbed demonstrate the validity and efficiency of our framework, which can significantly improve the quality of multimedia information as well as more precisely evaluate the trustworthiness of collected information.

show abstract

“…Then, in the second step, the location is estimated based on the signal parameters obtained in the first step. The location related parameters estimated in the first step include Received Signal Strength (RSS) [9], Time of Arrival (TOA), Time Difference of Arrival (TDOA) [10,11], Near Field Electromagnetic Ranging (NFER) [12], which provide an estimation of distance, and Angle Of Arrival (AOA) [13], which estimates the angle between the nodes. For distance based localization algorithms, the maximum likelihood (ML) solution can be obtained by a Nonlinear Least Squares (NLS) approach, under certain conditions [1].…”

Section: Localization Techniques In Wsnmentioning

confidence: 99%

A distributed newton iteration based localization scheme in underground tunnels

Qin

Zhou

Yang

et al. 2012

Proceedings of 2012 UKACC International Conference on Control

View full text Add to dashboard Cite

One of the main concerns in underground working tunnels is ensuring the safety of the workers and their equipment. Being aware of the real-time position of personnel in such harsh environment is challenging and requires a sophisticated localization system. With traditional Received Signal Strength (RSS) failing to accurately estimate the distance between nodes due to multipath effect in such long and narrow space, Radio Frequency Time-of-Flight (RF-TOF) is proved to be an alternative method for more accurate distance estimation. To reduce the communication cost, a distributed localization scheme is proposed, where a simple Newton Iteration location estimation algorithm is embedded in the blind node. Linear least square estimation is used as the initial value to accelerate the convergence of the iteration. Experimental results show the effectiveness of the proposed scheme.

show abstract

A Lightweight Collaborative Fault Tolerant Target Localization System for Wireless Sensor Networks

Cited by 57 publications

References 24 publications

Detecting Compromised Sensor Nodes with Group Verification

Detecting Compromised Sensor Nodes with Group Verification

A Trust-Based Framework for Fault-Tolerant Data Aggregation in Wireless Multimedia Sensor Networks

A distributed newton iteration based localization scheme in underground tunnels

Contact Info

Product

Resources

About