On the Delay of Finite Buffered Multi-Hop Relay Wireless Internet of Things

ElSamadouny, Ahmed; Hasna, Mazen O.; Khattab, Tamer; Abualsaud, Khalid; Yaacoub, Elias

doi:10.1109/vtcfall.2019.8891473

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…Elsamadouny et al [28] proposed a relay selection technique for multihop communication that allows for L relays to be selected between source and destination nodes. The authors modeled the network as a Markov chain, where each Markov chain state is parameterized by (L − 1) adjacent number representing the number of packets in the queue of the (L − 1) intermediate relay nodes.…”

Section: Relay Selection Related Workmentioning

confidence: 99%

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

et al. 2021

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This paper addresses the use of network coding algorithms combined with adequate retransmission techniques to improve the communication reliability of Wireless Sensor Networks (WSN). Basically, we assess the recently proposed Optimized Relay Selection Technique (ORST) operating together with four different retransmission techniques, three of them applying network coding algorithms. The target of this assessment is to analyze the impact upon the communication reliability from each of the proposed retransmission techniques for WSN applications. In addition, this paper presents an extensive state-of-the-art study in what concerns the use of network coding techniques in the WSN context. The initial assumption of this research work was that the ORST operating together network coding would improve the communication reliability of WNS. However, the simulation assessment highlighted that, when using the ORST technique, retransmission without network coding is the better solution.

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Section: Relay Selection Related Workmentioning

confidence: 99%

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

et al. 2021

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“…The results show that GMA's computation time is always significantly lower and more stable than that of GMO. We note that the maximum relay should be selected appropriately because of some performance issues of multihop routing in the IoT layer [26]. We can control the maximum relay used in multihop routing by parameter η.…”

Section: B Performance Evaluation Of Gateway Placement and Multihop mentioning

confidence: 99%

Optimization of Resource Management for NFV-Enabled IoT Systems in Edge Cloud Computing

Pham

Nguyen

2020

IEEE Access

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The Internet of Things (IoT) has been envisioned as an enabler of the digital transformation that can enhance different features of people's daily lives, such as healthcare, home automation, and smart transportation. The vast amount of data generated by a massive number of devices in an IoT system could lead to a severe performance problem. Edge cloud computing and network function virtualization (NFV) technologies are potential approaches to improve the efficiency of resource use and the flexibility of responsive services in an IoT system. In this paper, we consider the joint optimization problem of gateway placement and multihop routing in the IoT layer, the problem of service placement in the edge and cloud layers of an NFV-enabled IoT system in edge cloud computing (NIoT). We propose three optimization models (i.e., GMO, SP1O, SP2O) that allow an IoT service provider to find the optimal deployment of gateways, the optimal resource allocation for service functions, and the optimal routing according to a cost function with a performance constraint in a NIoT system. We then develop three approximation algorithms (i.e., GMA, SP1A, SP2A) for tackling the problems in a large-scale NIoT system. The evaluation results under a set of scenarios with various topologies and parameters show that the approximation algorithms can obtain results close to the optimal solution with a significant reduction in computation time. We also derive new insights into the strategy for an IoT provider to optimize its objectives. Specifically, the results suggest that an IoT provider should select an appropriate service placement strategy with regard to a charging agreement with an NFV infrastructure provider, and only deploy service functions with a strict delay requirement on the edge of networks for optimizing its cost.

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On the Delay of Finite Buffered Multi-Hop Relay Wireless Internet of Things

Cited by 2 publications

References 24 publications

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

Optimization of Resource Management for NFV-Enabled IoT Systems in Edge Cloud Computing

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