A throughput drop estimation model and its application to joint optimization of transmission power, frequency channel, and channel bonding in IEEE 802.11n WLAN for large-scale IoT environments

Munene, Kwenga Ismael; Funabiki, Nobuo; Rahman, Md. Mahbubur; Briantoro, Hendy; Roy, Sujan Chandra; Kuribayashi, Minoru

doi:10.1016/j.iot.2022.100583

Cited by 5 publications

(4 citation statements)

References 20 publications

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“…The same formula can be applied for the transmission speed due to its linear dependence on the received signal strength for most of its range. [40][41][42]. In Figure 7, the measurements for the 802.11ac 5 GHz case can be seen before and after detrending has been applied.…”

Section: Measurements Processing and Resultsmentioning

confidence: 99%

A Field Communication System for Volunteer Urban Search and Rescue Teams Combining 802.11ax and LoRaWAN

et al. 2023

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Despite the technological progress achieved by our society, natural or man-made disasters continue to pose a challenge and put to the test the organization and preparedness of government apparatuses. The loss of life and property following calamities motivates citizens into action. In response, volunteer Urban Search And Rescue (USAR) organizations are established with the aim of providing help when needed. Just like their government funded and run counterparts, these organizations try to use what technology has to offer to improve their efficiency. However, they face challenges due to their limited funding and inability to access certain resources such as licensed spectrum for their communications. This situation is further deteriorated because civilian communication infrastructure cannot be relied upon to be available in case of disasters. Communications are paramount for any operation, let alone USAR. To address this need, we have designed and built a field deployable communication system that is able to leverage what existing communication infrastructure is available and utilizes 802.11ax and LoRaWAN that operate in unlicensed spectrum to provide wireless local connectivity. The performance and suitability of the system have been tested in various small and large-scale exercises, while the range and transmission speed achieved by 802.11ax over its predecessors are determined through a measurement campaign. In this article, we report the results and lessons learned from our approach to fill this communication gap and the suitability of the selected technologies for the role.

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Section: Measurements Processing and Resultsmentioning

confidence: 99%

A Field Communication System for Volunteer Urban Search and Rescue Teams Combining 802.11ax and LoRaWAN

et al. 2023

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“…However, the widespread adoption of IoT technology has resulted in a substantial surge in Big Data generation, highlighting the need for an efficient platform to handle vast amounts of data. Implementing large-scale IoT environments encounters several challenges, including object heterogeneity, limited lifespan, mobility, and the absence of platforms for the autonomous management of numerous objects and their associated services [20]. Managing IoT environments through existing cloud platforms is constrained by the sheer number of deployed objects, the requirement for real-time processing, and the necessity for privacy in certain applications.…”

Section: Context and Issuesmentioning

confidence: 99%

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

mokni,

Yassa

2024

Preprint

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Internet of Things (IoT) applications have gained widespread adoption across diverse sectors such as healthcare, smart agriculture, smart cities, transportation, and water management, leading to a substantial generation of Big Data. To efficiently process this voluminous data, there is a pressing need for a platform capable of handling large quantities. However, real-time applications face challenges in cloud processing due to high latency. Fog computing, serving as a complementary infrastructure to the cloud, emerges as a viable solution by facilitating task processing, networking, and data storage in cloud data centers accessible to mobile users. Task offloading emerges as a promising fog computing solution to overcome resource constraints in IoT applications. This involves the execution of part or all of mobile applications in the cloud, aiming to enhance execution time and reduce energy consumption. Our research concentrates on optimizing the IoT task offloading problem within heterogeneous environments, considering conflicting constraints. This optimization challenge is formulated as a multi-objective problem, emphasizing energy consumption and latency Quality of Service (QoS) metrics. Our proposed solution, named Tof-NSGAII, is tailored to respect the finite resources of fog computing by adeptly balancing workloads and meeting the latency requirements of IoT tasks. We have adapted the widely employed meta-heuristic, the non-dominant sorting genetic algorithm (NSGA-II), to generate a set of non-dominated multi-objective task offloading optimization solutions, considering both energy consumption and latency. Experimental results showcase the efficacy of Tof-NSGAII in generating task offloading solutions that judiciously distribute executed tasks between fog and cloud computing environments based on their specific requirements. Additionally, the generated non-dominated solutions demonstrate optimality in terms of energy consumption, boasting an average energy reduction of 12.18\% compared to alternative approaches. Notably, our approach introduces only a marginal increase in latency, amounting to 0.38\%, a difference that can be considered negligible.

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“…An ideal channel allocation algorithm dependent on the branch‐and‐bound method (BBM) by comprehending the INLP model is proposed in Kai et al 60 Addressing the CB issues in WLAN, Stojanova et al 61 have proposed a Markovian model to predict the throughput achieved by each AP of the WLAN considering the network's topology and the AP's throughput demands. In a previous work, 62 the authors have proposed joint optimization of assigning the transmission power, the frequency channel, and the CB to improve the throughput performance of IEEE 802.11n WLAN.…”

Section: Related Studies On Cbmentioning

confidence: 99%

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

Kandar

Chyne

Sur

et al. 2023

Int J Communication

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The most well-known sort of remote Internet connection is wireless local area networks (WLANs) due to its unsophisticated operation and deployment. Subsequently, the quantity of gadgets getting to the Internet through WLANs, for example, PCs, cell phones, or wearables, is expanding radically at the equivalent time that applications' throughput necessities do. To provide wireless networks with supplementary spectral resources, the researchers are considering the aggregation of frequency spectrums in licensed, unlicensed, and shared access (SA) bands. Channel aggregation/channel bonding (CA/CB) techniques accumulate quite a few channels together as one channel for the purpose of achieving better bandwidth utilization. In this study, we focus on reliable CA/CB techniques in different wireless networks. CA/CB procedures are utilized for empowering higher information rates by transmitting in more extensive channels, accordingly expanding range proficiency with the assured secure channel for communication. We also discuss the spectral scarcity issues in today's wireless IoT network. This paper presents an extensive survey on CA/CB procedures and methods, issues and challenges, and open research areas related to IoT devices. We analyze the performance of channel CA/CB strategies in the different wireless networks too.

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A throughput drop estimation model and its application to joint optimization of transmission power, frequency channel, and channel bonding in IEEE 802.11n WLAN for large-scale IoT environments

Cited by 5 publications

References 20 publications

A Field Communication System for Volunteer Urban Search and Rescue Teams Combining 802.11ax and LoRaWAN

A Field Communication System for Volunteer Urban Search and Rescue Teams Combining 802.11ax and LoRaWAN

A Multi-Objective Approach for Optimizing IoT Applications Offloading in Fog-Cloud Environments with NSGA-II

A study on the channel bonding in IoT networks: Requirements, applications, and challenges

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