A new lightweight link quality based reputation model for Space-Air-Ground Integrated Wireless Sensor Network (SAGIWSN)

Maamar, Mokhtar; Liu, Jianwei; Liu, Weiran

doi:10.1109/iweca.2014.6845599

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…3). Undeniably, in classical WSN routing methods the authors have used merely one or two parameters such as congestion, residual energy, link quality [25,55] as routing decision variable; however realising the significance of multiple parameters for better routing we have used above stated parameters altogether to identify optimal BFN node (except residual energy, hypothesising that major modern communication systems, especially IoT nodes are armoured with better battery and power interface solution). Obtaining dynamically the link quality, overall congestion, packet velocity or packet injection rate by a node we have derived a rank value for each node which is compared to a threshold defined based on the experimental decision.…”

Section: Max-feature or Max Rank Matrix-based Bfn Selectionmentioning

confidence: 99%

“…Undeniably, it can be stated that to ensure reliable data transmission, constituting BFN using the dynamic link information can be of vital significance [25, 55]. Due to the variation in the quality of the link with distance, connecting a node with higher link quality can be vital for BFN selection.…”

Section: System Modelmentioning

confidence: 99%

“…In such cases, congestion detection at the network layer can be an effective measure to avoid data loss. Similarly, dynamic link quality could be examined at the MAC layer of the IEEE 802.15.4 protocol stack to avoid the node with link‐outage probability [24, 25]. Furthermore, estimating the packet velocity at a node which signifies the maximum rate of packet transmission through a node can be helpful to select a node who could deliver data within deadline time.…”

Section: Introductionmentioning

confidence: 99%

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Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Hosahalli

Srinivas

2020

IET wirel. sens. syst.

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The robustness of wireless sensor networks (WSNs) has broadened the use of wireless communication systems for modern machine-to-machine (M2M) communication. Internet-of-Things (IoT) being one of the most explored technologies has gained wide attention due to low-cost WSN communication systems. IoT is one of the dominant technologies used in Smart City implementation demands better communication paradigm including mobility assisted transmission paradigms; however, native IEEE 802.15.4 standard does not have mobility provision that limits its use for real-time applications. On contrary, implementing mobility with classical WSN might impose significantly great topological changes and node or network condition variations which cannot be dealt with the traditional reactive routing approach. Incorporating node and/or network awareness with proactive network management can enable classical WSN to support mobility, which can be vital for IoT based Smart City Planning and Management (SCPM). With this motivation, in this study, a robust Cross-Layer Architecture based WSN Routing Protocol for Event-Driven M2M Communication in SCPM (CWSN-eSCPM) is developed. CWSN-eSCPM encompasses Proactive Node Management Strategy, Data-Centric Service Differentiation and Fair Resource Scheduling (DCSDFRS), Packet Velocity Estimation, Cumulative Congestion Estimation, Dynamic Link Assessment that enables optimal Best Forwarding Node selection for deadline sensitive and reliable data communication. CWSN-eSCPM applies dynamic link quality, cumulative congestion degree, and packet velocity of a node to enable optimal routing decision. DCSDFRS enables optimal resource provision to the real-time data while assuring maximum possible resource for non-real-time data that assures Quality of Service provision for event-driven critical communication in SCPM. Noticeably, CWSN-eSCPM protocol has been applied on top of IEEE 802.15.4 protocol standard, while preserving backward compatibility feature, it can be used for WSN assisted communication purposes. The authors' proposed protocol has performed better in terms of packet delivery ratio, packet loss ratio and deadline miss ratio for both real-time data as well as non-real-time data.

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Section: Max-feature or Max Rank Matrix-based Bfn Selectionmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Hosahalli

Srinivas

2020

IET wirel. sens. syst.

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“…The main function of reputation systems is to combine performance's observations into one metric globally known as "Trust" or "Reputation" [15] [21].  New Comer Attacks: a malicious node that has already assigned a negative reputation in the network can simply leave and rejoin as new node just to flush out its previous history [24].…”

Section: Trust Metric Characteristicsmentioning

confidence: 99%

Prevention of Multiple Coordinated Jellyfish Attacks in Mobile Ad Hoc Networks

Azer¹,

Saad²

2015

IJCA

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Mobile Ad hoc Networks (MANETs) consist of self-governed nodes, they have no fixed infrastructure. They are stand alone or connected to the bigger internet as per the different applications. The dynamic nature of MANETs adds many challenges to the network management techniques. Likewise, their special characteristics such as the lack of infrastructure, self-government, mobility, and limited resources makes them vulnerable to a lot of attacks. Reputation systems can help mitigating attacks. Trust management using a reputation mechanism is considered as a vibrant security solution to enable the collaboration of MANETs. In this paper, we propose a Functional REPutation system for Ad hoc Networks, (FREPAN), which aims to improve the MANETS performance and mitigate selfishness and misbehavior attacks' effects. The overall system structure is introduced and its performance is tested under the presence of the jellyfish attacks.

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“…Space-Air-Ground Integrated Network (SAGINet) is one of the promoting concepts of the so-called "Full-dimensional Integrated Networks", it is based on a large interconnection of nodes and sub-networks of air, space and ground segments. In addition to the real-time data accessibility, it similarly originates an effective acquisition, transmission and processing capabilities [1].…”

Section: Introductionmentioning

confidence: 99%

Mutual Reputation Based Trust Generator for Space-Air-Ground Integrated Network

Maamar¹,

Liu²,

Roca³

2016

dtetr

Self Cite

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Abstract. Full-dimensional Integrated Networks such as Space-Air-Ground Integrated Network (SAGINet) are considered an encouraging concept, unfortunately, they are exposed to a wide range of attacks due to their high dynamic, self-organizing, distribution and time-varying characteristics. We believe that scheming a dependable trust generator can mitigate a large variety of attacks. In this paper we propose a mathematical interpretation approach that extracts an accurate reputation value from the cluster. The proposed reputation generator is powered by the objective listening log and the authentication log. The reputation measurement is more realistic since it uses the link quality estimation to exact the reputation index. The trust system exploits the reputation index to detect and prevent attacks and exploits the mutual reputation to serve for the pathrater and network optimization.

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A new lightweight link quality based reputation model for Space-Air-Ground Integrated Wireless Sensor Network (SAGIWSN)

Cited by 8 publications

References 11 publications

Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Cross‐layer routing protocol for event‐driven M2M communication in IoT‐assisted Smart City Planning and Management: CWSN‐eSCPM

Prevention of Multiple Coordinated Jellyfish Attacks in Mobile Ad Hoc Networks

Mutual Reputation Based Trust Generator for Space-Air-Ground Integrated Network

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