Resilient wireless communication networking for Smart grid BAN

Tsado, Yakubu; Lund, David J.; Gamage, Kelum A. A.

doi:10.1109/energycon.2014.6850524

Cited by 14 publications

(9 citation statements)

References 9 publications

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“…In this paper, we present the predominant topologies of smart metres and analyse the possibility of implementing trust and reputation management on those topologies. The study in [10] suggested a single and multiple hop star topologies as the simplest smart metre topology in which every node communicates directly with the gateway or central node. The star topology includes both structured and unstructured, multiple hub or single hub.…”

Section: Related Workmentioning

confidence: 99%

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network

Bello

Liu

Bai

et al. 2015

2015 IEEE International Conference on Data Science and Data Intensive Systems

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Trust and reputation management represents a significant trend in tackling the security problems in computer networks. The basic idea is to let machines rate each other and then use the aggregated ratings to derive trust scores, which can assist machines in deciding whether to collaborate or not in the future tasks. Recently there are rapidly growing research literatures on trust management but these researches mainly focus on studying how to model and evaluate the trust so as to effectively detect and avoid malicious attacks. There is less work on how to reveal the effect of the underlying network structure on the overlay trust behaviours. In this paper, we have discovered the presence of structural transitivity in studying trust and reputation behaviours of the smart metering network. The network trust is not merely a function of trust models, but also a network-wide activity in which the network structure matters. The simulation studies have confirmed that the transitive relation between devices enhances the accuracy of trust and reputation systems to detect then avoid malicious nodes and requires less energy consumption. Moreover, this study reveals the relationships between topological transitivity, average shortest path and energy consumed by the node to locate the trusted node in the network.

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Section: Related Workmentioning

confidence: 99%

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network

Bello

Liu

Bai

et al. 2015

2015 IEEE International Conference on Data Science and Data Intensive Systems

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“…Practically, network resilience has no metric value but can be estimated using the time the network takes to resume its normal operation after being subjected to disruption [9]. Traffic resilience can be measured by the time required by the network to resume its normal operation after being subjected to disruption [3,10]. Consequently, it is complicated to estimate network resilience in terms of the quantitative value of network resilience.…”

Section: A Problem Statementmentioning

confidence: 99%

Resilient Service Embedding in IoT Networks

et al. 2020

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The Internet of Things (IoT) can support a significant number of services including those in smart homes and the automation of industries and public utilities. However, the growth of these deployments has posed a significant challenge especially in terms of how to build such deployments in a highly resilient manner. The IoT devices are prone to unpredicted failures and cyber-attacks, i.e. various types of damage, unreliable wireless connections, limited transmission power, computing ability, and storage space. Thus resilience is essential in IoT networks and in the services they support. In this paper, we introduce a new approach to resilience in IoT service embedding, based on traffic splitting. Our study assesses the power consumption associated with the services embedded and the data delivery time. The results are compared to recent approaches in resilience including redundancy and replication approaches. We constructed an optimization model whose goal is to determine the optimum physical resources to be used to embed the IoT virtual topology, where the latter is derived from a business process (BP). The embedding process makes use of the service-oriented architecture (SOA) paradigm. The physical resources of interest include IoT links and devices. The model made use of mixed integer linear programming (MILP) with an objective function that aimed to minimize both the total power consumption and the traffic latency. The optimization results show that the power consumption is reduced and the data delivery time is reduced in the service embedding approach where the proposed traffic splitting approach is employed resulting in the selection of energy efficient nodes and routes in the IoT network. Our methods resulted in up to 35% power saving compared to current methods and reduced the average traffic latency by up to 37% by selecting energy-efficient nodes and routes in IoT networks and by optimizing traffic flow to minimize latency.

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“…The proposed MAC scheme, which is based on [3], is modified to make it compatible with the new system. Fig.…”

Section: Algorithmmentioning

confidence: 99%

“…Based on these aspects, an effective solution has been evaluated on the model built for a HAN in [3] and it uses a short-range wireless IEEE 802.11 standard. This standard is widely used in houses to attain high bandwidth connections and uses low electrical power.…”

mentioning

confidence: 99%

Performance evaluation of Channel-Aware MAC protocol in smart grid

Noorwali

Rao

Shami

2015

2015 IEEE Electrical Power and Energy Conference (EPEC)

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An Intelligent Distributed Channel-Aware Medium Access Control (IDCA-MAC) protocol is proposed for Home Area Network (HAN), in general, and for Electrical Devices Networks (EDN), in particular, in smart grids. In an EDN, electrical devices generate critical packets, and these must be communicated to their respective mesh clients. The proposed IDCA-MAC protocol employs simultaneous transmission of data packets through a single collision domain. Also, the electrical devices and the mesh client are assumed to be equipped with Multiple Input Multiple Output (MIMO) technology. The proposed protocol is compatible with the existing IEEE 802.11 standard, and uses channel-aware Medium Access Control (MAAware) and the Zig-Zag decoding algorithm. Simulations are carried out using the NS-2 network simulator, and the performance of IDCA-MAC protocol is evaluated for various smart grid scenarios that are of practical significance. It is shown that the protocol is very effective and can be easily adopted in existing smart grids for improved throughput and performance.

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Resilient wireless communication networking for Smart grid BAN

Cited by 14 publications

References 9 publications

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network

Revealing the Role of Topological Transitivity in Efficient Trust and Reputation System in Smart Metering Network

Resilient Service Embedding in IoT Networks

Performance evaluation of Channel-Aware MAC protocol in smart grid

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