An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

Bukhsh, Muhammad; Abdullah, Saima; Rahman, Abdul Hadi Abd; Asghar, Mamoona Naveed; Arshad, Humaira; Alabdulatif, Abdulatif

doi:10.1109/access.2021.3121033

Cited by 13 publications

(7 citation statements)

References 41 publications

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“…Four edge servers are placed with an equal number of SDN nodes for the execution of the received messages categorized as safety and non-safety messages. 30 IoTbased vehicles are used for random communication. Figure 4 shows the response time for safety messages, which is reduced by the proposed model by placing an edge node on the roadside for local processing and limited storage capacity.…”

Section: ) Results Comparisonmentioning

confidence: 99%

“…In a solution, he introduces the user of multi-input, a single-output system for better signal transmission for smooth and secure wireless data transmission. The authors of the [30] proposed an fault tolerant, energy-efficient and high available methods for the IoT devices is proposed for better performance. [31] The authors proposed latency aware decentralized edge computing based method with high availability for IoT devices to overcome the delay in communication between IoT devices and edge computing.…”

Section: Related Workmentioning

confidence: 99%

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A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

et al. 2022

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A software-defined vehicular network is made up of an IoT (Internet of Things) based vehicular ad-hoc network and a software-defined network. For better communication in IoT based vehicle networks, researchers are now working on the VANET (Vehicular Ad-hoc Network) to increase the overall system performance. To maximize the VANET ad-hoc network's information application performance and reliability, edge computing has gained the attention of researchers. In current research, cloud computing is used for message related task execution, which increases the response time. We propose a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) IoT-Based Vehicular Networks Using Edge Computing Secured by Blockchain to reduce overall communication delay, message failure fault tolerance, and secure service provisioning for VANET ad-hoc networks in this article. We proposed heuristic algorithms to solve the above mentioned problems of response delay, message failure, fault tolerance, and security provided by the Blockchain. The proposed model gets vehicle messages through SDN (Software defined network) nodes, which are placed on nearby edge servers, and the edge servers are validated by the blockchain to provide secure services to vehicles. The SDN controller, which exists on an edge server, which is placed on the road side to overcome communication delays, receives different messages from the vehicles and divides these messages in to two different categories. The message division is performed by the edge server by judging the time line, size, and emergency situation. SDN controller organized these messages and forwarded them to their destination. After the message is delivered to its destination, a fault tolerance mechanism checks their acknowledgements. If the message delivery fails, the fault tolerance algorithm will resend the failure message. The proposed model is implemented using a custom simulator and compared with the latest VANET based QoS and fault tolerance models. The result shows the performance of the proposed model, which decreased the overall message communication delay by 55% of the normal and emergency messages by using the edge server SDN controller. Furthermore, the proposed model reduces the execution time, security risk, and message failure ratio by using the edge server, cloud server and blockchain infrastructure.

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Section: ) Results Comparisonmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

et al. 2022

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“…An approach that helps select the cluster head and broker node simultaneously has been proposed by Bukhsh et al [25]. They have implemented an energy-aware fault-tolerant system that schedules the messages for transmission within a broker node.…”

Section: Representing a Hybrid Network Built Combining Butterfly + Li...mentioning

confidence: 99%

Hybrid models for computing fault tolerance of IoT networks

Chokara

Jammalamadaka

2023

TELKOMNIKA

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Many Internet of Things (IoT) -based networks are being built to develop applications spanning multiple domains. Many small to large devices connected in various ways increases the risk of IoT networks failing. Small devices in the devices layer frequently fail due to their small size and high usage. Intermittent failures of the IoT networks lead to catastrophes at times. The IoT systems must be designed to be fault-tolerant. Fault tolerance of IoT networks must be computable so that the same can be considered while designing IoT networks. However, the computation of fault tolerance of IoT networks is complex, especially when heterogeneous structures are used for building a specific IoT network. Fault tree-based models are not suitable for computing fault-tolerance of complex models, which requires probability assessment. Hybrid fault tolerance computing models have been presented in this paper that consider both linear and probabilistic methods of computing the fault tolerance considering many complex networking topologies used in each layer of IoT networks. The fault-tolerance computing models are formal methods that can be used to compute the fault tolerance of any IoT network built with any internal processing. The accuracy of fault tolerance computing is 12.9% higher than other methods.

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“…It proposes an energy efficient method with fault tolerance for the IoT system. It is a novel approach for the cluster broker selection by considering the backup sensor node when the head fails [56]. There is a need for blockchain in cloud architecture, which is the new technology for security on the blocks.…”

Section: Related Workmentioning

confidence: 99%

An Energy-Efficient Data Aggregation Mechanism for IoT Secured by Blockchain

et al. 2022

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The Internet of Things (IoT) is getting important and interconnected technologies of the world, consisting of sensor devices. The internet is smoothly changing from an internet of people towards an Internet of Things, which permits various objects to connect to another wirelessly. The energy consumption of the IoT routing protocol can affect the network life span. In addition, the high volume of data produced by IoT will result in transmission collision, security issues, and energy dissipation due to increased data redundancy because tiny sensors are usually hard to recharge after they are deployed. Generally, to save energy, data aggregation reduces data redundancy at each node by turning some nodes into sleep mode and others into wake mode. Therefore, it is important to group the nodes with high data similarity using the fuzzy matrix. Then, the data received from the member nodes at the Cluster Head (CH) are analyzed using a fuzzy similarity matrix for clustering. In the next step, after clustering, some nodes are chosen from all groups as redundant nodes. The sleep scheduling mechanism is then applied to reduce data redundancy, network traffic jamming, and transmission costs. We have proposed an Energy-Efficient Data Aggregation Mechanism (EEDAM) secured by blockchain, which uses a data aggregation mechanism at the cluster level to save energy. As edge computing is used to provide on-demand trusted services to IoT with minimum delay, blockchain is integrated inside a cloud server, so the edge is validated by the blockchain to provide secure services to IoT. Finally, we performed simulations to calculate the performance of the proposed mechanism and compared it with the conventional energy-efficient algorithms. The simulation results show that the proposed structural design can successfully reduce the amount of data, provide proper security to the IoT, and extend the wireless sensor network (WSN).

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An Energy-Aware, Highly Available, and Fault-Tolerant Method for Reliable IoT Systems

Cited by 13 publications

References 41 publications

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

A Novel Blockchain Based Secured and QoS Aware IoT Vehicular Network in Edge Cloud Computing

Hybrid models for computing fault tolerance of IoT networks

An Energy-Efficient Data Aggregation Mechanism for IoT Secured by Blockchain

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