Split Computing: Dynamic Partitioning and Reliable Communications in IoT-Edge for 6G Vision

Karjee, Jyotirmoy; Anand, Kartik; Bhargav, Vanamala Narasimha; Naik, Praveen S; Dabbiru, Ramesh Babu Venkat; Srinidhi, N. N.

doi:10.1109/ficloud49777.2021.00041

Cited by 9 publications

(4 citation statements)

References 13 publications

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“…In [112], the authors suggested the Reliable Communication Network Switching (RCNS) concept to improve the reliability of IoT edge networks with available bandwidth constraints. The emulation consequences justify the devised rule-based reliable communication network switching (R-RCNS) algorithm that improves reliability in poor IoT networks.…”

Section: ) Bandwidth-reliabilitymentioning

confidence: 99%

“…To achieve a high bandwidth utilization and high-reliability communication network, numerous effective optimization strategies for optimizing bandwidth and reliability simultaneously for 5G and 6G IoT communication systems has been given in this section [110], [111], [112]. [111] provides new way for bandwidth optimization algorithms.…”

Section: ) Bandwidth-reliabilitymentioning

confidence: 99%

“…Paper [110] employs LDPC models to enhance reliability while minimizing repair bandwidth, while [111] leverages martingale theory and stochastic network calculus to integrate reliability and bandwidth in E2E networks. In contrast, [112] introduces the RCNS concept to enhance reliability in IoT edge networks with bandwidth constraints. However, common limitations across the papers include overlooking factors such as latency and dynamic nodes, which are essential for real-world applicability.…”

Section: ) Bandwidth-reliabilitymentioning

confidence: 99%

“…Better reliability for each node with bandwidth constraint Not for dynamic nodes [111] R-RCNS Effective for IoT edge devices with poor network No latency considered [112] 2) BANDWIDTH-RATE…”

Section: Bandwidthreliability Ldpc Codes Higher Reliabilitymentioning

confidence: 99%

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Toward Efficient 6G IoT Networks: A Perspective on Resource Optimization Strategies, Challenges, and Future Directions

Liwen,

Qamar,

Liaqat

et al. 2024

IEEE Access

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The next generation (6G) wireless communication technology has super advantages in high transmission rates scenarios. Internet of Things (IoT) has been applied in recent years due to its wide connection. However, effective resource optimization methods must be analyzed to meet the high requirements of key performance indicators in 6G wireless IoT networks. This paper discusses a general investigation of the resource optimization strategies in the 6G IoT system. The study aims to find the main solutions to optimize 6G IoT network performance. First, an overall summary of current research is preferred resource optimization in latency, reliability, Energy Efficiency (EE), Spectrum Efficiency (SE), bandwidth utilization efficiency, rate, and power efficiency. Second, we propose the multi-indicator tradeoff strategies associated with the latest resource optimization approaches and investigate optimal strategies. Furthermore, we show the limitations of the current resource optimization methods and discuss the future works of resource optimization for IoT devices in 6G communication. Our survey aims to help researchers optimize 6G IoT network performance using advanced techniques.

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Section: ) Bandwidth-reliabilitymentioning

confidence: 99%