MultiProTru: A kalman filtering based trust architecture for two-hop wireless sensor networks

Doğan, Gülüstan; Avincan, Koksal

doi:10.1007/s12083-016-0446-3

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…For instance a ship travelling between destinations A and B finds its way with the help of GPS. If the GPS stops working, the Kalman filtering approach can be used to calculate a route based on the previous routing data [22].…”

Section: Methodsmentioning

confidence: 99%

Multi-Step Approach to Improving Accuracy of Incident Duration Estimation: Case Study of Istanbul

Özen

Saraçoğlu

2019

Teh. vjesn.

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Unexpected events, such as crashes, disabled vehicles and spilled loads cause traffic congestion or increase the level of existing congestion on roads. Traffic incident management requires the estimation of incident duration from the beginning to the final stage of the event, in order to identify the most suitable strategies for decreasing their impact. Accordingly, the adverse effects of an incident can be minimised by efficiently managing the process between the time the incident occurred and the traffic returning to normal operating conditions. The purpose of this paper is to present a methodology and improve the accuracy of the model by using a multi-step approach to estimate the duration of an incident. For this purpose, incident duration data was obtained for Istanbul Transit Europe Motorways (TEM). Using the incident data and implementing the multi-step approach, Kalman Filtering and linear regression analysis in stepwise, were used for the incident duration estimation model.

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Section: Methodsmentioning

confidence: 99%

Multi-Step Approach to Improving Accuracy of Incident Duration Estimation: Case Study of Istanbul

Özen

Saraçoğlu

2019

Teh. vjesn.

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“…Some techniques were developed to meet different WSNs security threats mitigation [ 1 , 2 , 3 , 4 ]. There are other techniques that are used for protection in WSNs that rely on the reputation principle [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 ]. These reputation-based techniques are out of the scope of this survey paper since our main focus in this paper is on game-theoretic-based protection techniques.…”

Section: Introductionmentioning

confidence: 99%

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Abdalzaher

Seddik

Elsabrouty

et al. 2016

Sensors

105

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Abstract:We present a study of using game theory for protecting wireless sensor networks (WSNs) from selfish behavior or malicious nodes. Due to scalability, low complexity and disseminated nature of WSNs, malicious attacks can be modeled effectively using game theory. In this study, we survey the different game-theoretic defense strategies for WSNs. We present a taxonomy of the game theory approaches based on the nature of the attack, whether it is caused by an external attacker or it is the result of an internal node acting selfishly or maliciously. We also present a general trust model using game theory for decision making. We, finally, identify the significant role of evolutionary games for WSNs security against intelligent attacks; then, we list several prospect applications of game theory to enhance the data trustworthiness and node cooperation in different WSNs.

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Trust Model of Wireless Sensor Networks Based on Shannon Entropy

Guan

2016

Web Information Systems Engineering – WISE 2016

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MultiProTru: A kalman filtering based trust architecture for two-hop wireless sensor networks

Cited by 3 publications

References 20 publications

Multi-Step Approach to Improving Accuracy of Incident Duration Estimation: Case Study of Istanbul

Multi-Step Approach to Improving Accuracy of Incident Duration Estimation: Case Study of Istanbul

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Trust Model of Wireless Sensor Networks Based on Shannon Entropy

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