Efficient content transmission algorithm based on multi-community and edge-caching in ICN-SIoT

Cai, Zhaoqi; Wu, Jia

doi:10.1007/s12083-022-01403-7

Cited by 5 publications

(3 citation statements)

References 63 publications

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“…In this paper, we perform analysis considering SIoT instead of IoT. The reason is that, though, both of them share similarities in their fundamental concept of interconnected devices, they differ in their focus, objectives, and scope [2]. IoT primarily collects and analyzes data to improve operational efficiency, reduce costs, and provide insights for decisionmaking.…”

Section: A the Motivation For Using Siotmentioning

confidence: 99%

“…T HE social Internet of Things (SIoT) is an emerging networking paradigm wherein IoT nodes can inter-communicate extensively like friends [1], [2]. Therefore, given the massive number of SIoT devices, their extensive communication, and their diversity in terms of resource requirements, a substantial amount of available spectrum is required [3], [4].…”

Section: Introductionmentioning

confidence: 99%

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Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Khan,

Tanveer,

Shin

et al. 2023

IEEE Access

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Cognitive radio enabled social internet of things (CR-SIoT) can potentially revolutionize the existing networking paradigm by enabling heterogeneous IoT users to communicate socially like friends using the existing limited spectrum. However, satisfying the varying requirements of heterogeneous users in CR-SIoT remains a key challenge. Therefore, we propose a novel extended scheme, called ES, targeted at CR-SIoT with multi-priority and heterogeneous users. The scheme heuristically utilizes the secondary users' (SUs') heterogeneousness with respect to their priorities, methodically tackles SUs' dropping, and follows efficient approach for channel access. Moreover, the scheme considers the impact of receiver's accessibility for rendering realistic analysis. Aside from this, we propose a spectrum reservation algorithm for increasing spectrum utilization. Leveraging Markov chain, we model the network and derive expressions for capacity, blocking probability (BP), spectrum utilization, and handoff probability (HP). We evaluate the scheme under various users' arrival and service rates, and observe 74% improvement in capacity, 26% in spectrum utilization, 88% in HP, 43% in BP, and significant fairness in service availing among users, compared to the state-of-the-art. Additionally, we gain valuable insights by studying the inherent tradeoff between BP and service retainability resulting from the spectrum reservation.

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Section: A the Motivation For Using Siotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Khan,

Tanveer,

Shin

et al. 2023

IEEE Access

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“…The three major business scenarios of 5G are: eMBB mobile broadband enhancement, mMTC large‐scale IoT, and uRLLC ultra‐reliable and ultra‐low latency, of which mMTC large‐scale IoT is the research content of this paper [32, 33]. In the context of large‐scale IoT [34, 35], each device can be regarded as a data node with data collection, storage, and transmission functions, and due to the devices within a certain area, their communication preferences are partially similar [36–39], we can define these nodes and the network they are in as a community, as shown in Figure 1. Various devices in a city communicate with each other through the Internet.…”

Section: System Model Designmentioning

confidence: 99%

An effective data communication community establishment scheme in opportunistic networks

Hao

Gou

2023

IET Communications

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The network transmission speed has been greatly improved, thanks to the power of 5G technology. The millisecond‐level communication delay has made a qualitative leap in communication quality. However, the sharp increase in the number of nodes connected to the internet has resulted in an explosion of traffic. Ensuring stable network transmission in the face of large data volumes has become an urgent problem to be solved. Existing research mainly optimizes for low data volumes of nodes, and cannot dynamically adapt to node transmission load to cope with explosive growth. This is because the node's cache is always at a high level, which causes community communication to be blocked. To address this issue, the authors have designed an effective data communication community establishment scheme. By adding a data information flow (DIF) attribute to each user and using the dynamic feedback adjustment (DFA) mechanism, the authors can combine the entire communication community and control the user's data information flow concentration at a relatively low level. This degree of optimization ensures that the user node maintains a relatively stable state for fast communication. The authors design an effective data communication community establishment scheme. By adding a data information flow (DIF) attribute to each user, using the dynamic feedback adjustment mechanism and combining the entire communication community, the user's data information flow concentration is controlled at a relatively low level.

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Novel data transmission technology based on complex IoT system in opportunistic social networks

Gou

2022

Peer-to-Peer Netw. Appl.

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Efficient content transmission algorithm based on multi-community and edge-caching in ICN-SIoT

Cited by 5 publications

References 63 publications

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

Toward Spectrum Efficiency and Reliability for Heterogeneous Users in CR-Enabled Social Internet of Things

An effective data communication community establishment scheme in opportunistic networks

Novel data transmission technology based on complex IoT system in opportunistic social networks

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