NBA: A name-based approach to device mobility in industrial IoT networks

Ming, Zhongxing; Xu, Mingwei

doi:10.1016/j.comnet.2021.107973

Cited by 7 publications

(2 citation statements)

References 15 publications

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“…At this time, the shortest path between the root node and static node will be recalculated by excluding the failed nodes. Dijkstra's algorithm is a routing algorithm, where the shortest path between source node and root node is calculated [28][29][30][31][32][33][34] The rest of the paper is organized as follows. Summary of various related works is presented in section II.…”

Section: Introductionmentioning

confidence: 99%

Establishing Self-Healing and Seamless Connectivity among IoT Networks Using Kalman Filter

Srinidhi

Shreyas²,

Naresh

2022

Journal of Robotics and Control

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The Internet of Things (IoT) is the extension of Internet connectivity into physical devices and to everyday objects. Efficient mobility support in IoT provides seamless connectivity to mobile nodes having restrained resources in terms of energy, memory and link capacity. Existing routing algorithms have less reactivity to mobility. So, in this work, a new proactive mobility support algorithm based on the Kalman Filter has been proposed. Mobile nodes are provided with a seamless connectivity by minimizing the switching numbers between point of attachment which helps in reducing signaling overhead and power consumption. The handoff trigger scheme which makes use of mobility information in order to predict handoff event occurrence is used. Mobile nodes new attachment points and its trajectory is predicted using the Kalman-Filter. Kalman-Filter is a predictor-estimator method used for movement prediction is used in this approach. Kalman Filtering is carried out in two steps: i) Predicting and ii) Updating. Each step is investigated and coded as a function with matrix input and output. Self-healing characteristics is being considered in the proposed algorithm to prevent the network from failing and to help in efficient routing of data. Proposed approach achieves high efficiency in terms of movement prediction, energy efficiency, handoff delay and fault tolerance when compared to existing approach.

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Section: Introductionmentioning

confidence: 99%

Establishing Self-Healing and Seamless Connectivity among IoT Networks Using Kalman Filter

Srinidhi

Shreyas²,

Naresh

2022

Journal of Robotics and Control

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show abstract

“…It is also forecasted that by 2025, there will be 30 billion IoT connections [1]. Moreover, IoT has a wide range of applications in different domains like industrial IoT [2], smart cities [3], agriculture food chain [4], etc. The IoT networks usually operate in open-access environments, such as smart cities, food production and energy supply.…”

Section: Introductionmentioning

confidence: 99%

Securing Genetic Algorithm Enabled SDN Routing for Blockchain Based Internet of Things

Abbas¹,

Javaid

Almogren

et al. 2021

IEEE Access

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Internet of Things (IoT) is an emerging domain in which different devices communicate with each other through minimum human intervention. IoT devices are usually operated in hostile and unattended environments. Moreover, routing in current IoT architecture becomes inefficient due to malicious and unauthenticated nodes' existence, minimum network lifetime, insecure routing, etc. This paper proposes a lightweight blockchain based authentication mechanism where ordinary sensors' credentials are stored. As IoT nodes have a short lifespan due to energy depletion, few credentials are stored in the blockchain to achieve lightweight authentication. Moreover, the route calculation is performed by a genetic algorithm enabled software defined network controller, which is also used for on-demand routing to optimize the energy consumption of the nodes in the IoT network. Furthermore, a route correctness mechanism is proposed to check the existence of malicious nodes in the calculated route. Moreover, a detection mechanism is proposed to restrict the malicious nodes' activities, while a malicious node's list is maintained in the blockchain, which is used in the route correctness mechanism. The proposed model is evaluated by performing intensive simulations. The effectiveness of the proposed model is depicted in terms of gas consumption, which shows the optimized utilization of resources. The residual energy of the network shows optimized route calculation, while the malicious node detection method shows the number of packets dropped.

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Towards efficient and flexible management and interworking techniques for Industrial Internet of Things

Cui

Leung

et al. 2021

Computer Networks

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NBA: A name-based approach to device mobility in industrial IoT networks

Cited by 7 publications

References 15 publications

Establishing Self-Healing and Seamless Connectivity among IoT Networks Using Kalman Filter

Establishing Self-Healing and Seamless Connectivity among IoT Networks Using Kalman Filter

Securing Genetic Algorithm Enabled SDN Routing for Blockchain Based Internet of Things

Towards efficient and flexible management and interworking techniques for Industrial Internet of Things

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