MSU-TSCH: A Mobile Scheduling Updated Algorithm for TSCH in the Internet of Things

Jerbi, Wassim; Cheickhrouhou, Omar; Guermazi, Abderrahmen; Trabelsi, Hafedh

doi:10.1109/tii.2022.3215990

Cited by 10 publications

(7 citation statements)

References 17 publications

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“…Generally speaking, all the approaches aimed at increasing communication quality (latency and reliability) by decreasing the average number of retransmissions have a positive impact on power consumption as well. This is the case of black and white listing techniques, which are meant to dynamically select the best channel on which transmissions are performed: in [22] bad channels are blacklisted based on the packet delivery ratio, [23] introduces the concept of probabilistic blacklisting, where the probability that a channel is not skipped depends on its perceived communication quality, in [24] cells are scheduled based on network metrics including the packet delivery ratio and end-to-end latency, and finally in [25] blacklisting is managed as a dynamic multi-armed Bernoulli bandit process to adapt selected channels to time-varying interference.…”

Section: B Conserving Energy In Wsnsmentioning

confidence: 99%

Ultralow Power and Green TSCH-Based WSNs With Proactive Reduction of Idle Listening

Scanzio,

Quarta,

Paolini

et al. 2024

IEEE Internet Things J.

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Wireless sensor networks are characterized by low power consumption because motes are typically battery-powered. Time slotted channel hopping (TSCH) relies on a fixed transmission schedule, which enables the receiver module of wireless motes to be switched off every time it is not needed. Unfortunately, in many practical contexts most of the reserved slots remain unused, which leads to appreciable energy waste. For periodic traffic, proactive reduction of idle listening (PRIL) techniques have been proven able to mitigate this problem.In this paper, PRIL multi-hop (PRIL-M) is introduced with the aim to improve existing PRIL techniques, by lowering energy waste further in large real-world mesh networks. PRIL-M is advantageous in all those contexts where ultra-low power consumption is more important than end-to-end latency. Applications that can benefit from PRIL-M include, e.g., environmental monitoring, where sensors are deployed over the target area and must operate for years without maintenance. A thorough simulation campaign showed that, in these scenarios, energy consumption of PRIL-M is 75% less than standard TSCH, while the average latency is about 20 times larger.

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Section: B Conserving Energy In Wsnsmentioning

confidence: 99%

Ultralow Power and Green TSCH-Based WSNs With Proactive Reduction of Idle Listening

Scanzio,

Quarta,

Paolini

et al. 2024

IEEE Internet Things J.

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“…Jerbi et al [24], [25] introduce Crypto-ECC, a rapid secure protocol designed for large-scale wireless sensor networks deployed on the Internet of Things (IoT). Their work, published in the book" Theory and Applications of Dependable Computer Systems," focuses on enhancing the security of IoT deployments by proposing a cryptographic protocol tailored to the resource constraints of wireless sensor networks.…”

Section: Related Workmentioning

confidence: 99%

Enhancing the Internet of Vehicles through Collaborative Cryptographic Mechanisms with IRS

Aljumaili,

Trabelsi,

Jerbi

et al. 2024

icisna

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The Internet of Vehicles (IoV) is transforming transportation systems by allowing for seamless communication and collaboration between vehicles, roadside units (RSUs), and cloud servers. However, the dynamic and varied character of IoV settings raises serious security and efficiency concerns. This work suggests a novel strategy to addressing these issues by combining collaborative cryptographic processes and intelligent reflecting surfaces (IRS). Our method uses modern encryption techniques, such as the modern Encryption Standard (AES), to assure safe data delivery, while intelligent reflecting surfaces dynamically modify their reflection qualities to improve signal propagation and reception. We provide a detailed network model and algorithmic framework for implementing the suggested strategy, with a focus on cryptographic techniques and the role of intelligent reflecting surfaces in improving communication security and efficiency. Through theoretical analysis and debate, we emphasize the possible benefits of incorporating intelligent reflecting surfaces in IoV networks, such as improved network coverage, lower communication costs, and increased energy efficiency. Furthermore, we explore the implications of our strategy for IoV security and suggest future research areas in this area.

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“…MSU‐TSCH 16 is a modern scheduling algorithm that is distributed and mobile, known as an autonomous scheduling strategy since each node independently creates its own schedule without consulting its neighbors. The schedule is generated using the routing data that is currently available, and it is automatically updated when the routing topology changes.…”

Section: Introductionmentioning

confidence: 99%

“…[13][14][15] Centralized scheduling approaches require additional communication overhead since each node must communicate with its neighbors or a central sink, to exchange network and traffic information in addition to scheduling information. MSU-TSCH 16 is a modern scheduling algorithm that is distributed and mobile, known as an autonomous scheduling strategy since each node independently creates its own schedule without consulting its neighbors. The schedule is generated using the routing data that is currently available, and it is automatically updated when the routing topology changes.…”

mentioning

confidence: 99%

An enhanced MSU‐TSCH scheduling algorithms for industrial wireless sensor networks

Jerbi,

Cheikhrouhou,

Guermazi

et al. 2023

Concurrency and Computation

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SummaryThe reliability and latency requirements of wireless sensor network‐based smart grid communications are met in large part by MAC protocols. Developed by IEEE, time slotted channel hopping (TSCH), a method that is effective, dependable, and predictable. However, the TSCH standard does not enable mobility and does not offer any solution for scheduling, especially in IEEE 802.15.4 TSCH, the most recent generation of extremely dependable and low‐power MAC protocols. Recently, MSU‐TSCH a time‐frequency communication schedule was proposed to provide mobility to TSCH. Despite its distinctive qualities, MSU‐TSCH has the drawback of computing the TSCH schedule at each node independently of its traffic load, which can significantly increase the communication delay. Due to this limitation, MSU‐TSCH is not suitable for some delay‐sensitive smart grid applications. In this article, we provide an improved MSU‐TSCH‐based TSCH protocol, called Mobility‐TSCH, that dynamically adjusts time slot assignments based on traffic volume and latency requirement. Moreover, the protocol Mobility‐TSCH adapts to topology changes and supports mobility. Additionally, it optimizes time slot allocation by prioritizing nodes closest to the sink. The performance and evaluation analysis of Mobility‐TSCH compared to the original MSU‐TSCH, reveal that the communication delay is greatly reduced, decreases the average end‐to‐end latency, the high packet delivery ratio (PDR), Increase the performance of both metrics, parent connectivity ratio (PCR) and convergence time (CT), while maintaining a minimal overhead signaling.

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MSU-TSCH: A Mobile Scheduling Updated Algorithm for TSCH in the Internet of Things

Cited by 10 publications

References 17 publications

Ultralow Power and Green TSCH-Based WSNs With Proactive Reduction of Idle Listening

Ultralow Power and Green TSCH-Based WSNs With Proactive Reduction of Idle Listening

Enhancing the Internet of Vehicles through Collaborative Cryptographic Mechanisms with IRS

An enhanced MSU‐TSCH scheduling algorithms for industrial wireless sensor networks

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