EALLR: Energy-Aware Low-Latency Routing Data Driven Model in Mobile Edge Computing

With the rapid development of the Mobile Edge Computing (MEC) and the Internet of Things (IoT), intelligent interconnectivity and data exchange between devices have become feasible, bringing about the need for efficient energy management and complex network communication strategies. This paper propo...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics 2024-11, p.1-1
Main Authors: Zhang, Xuemin, Hou, Delin, Xiong, Zenggang, Liu, Yanchao, Wang, Shihui, Li, Yuan
Format: Article
Language:English
Subjects:
Adaptation models
Community Management
Computational modeling
Data models
Data processing
Delays
Internet of Things
Mathematical models
Mobile Edge Computing (MEC)
Multi-access edge computing
Network Energy Management
Routing
Routing protocols
Services
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Summary:With the rapid development of the Mobile Edge Computing (MEC) and the Internet of Things (IoT), intelligent interconnectivity and data exchange between devices have become feasible, bringing about the need for efficient energy management and complex network communication strategies. This paper proposes an Energy-Aware Low-Latency Routing Data Driven Model in Mobile Edge Computing (EALLR). This model introduces edge nodes that can perform computation and data processing close to the data source, thereby reducing latency and bandwidth consumption, optimizing data transmission paths, and ensuring that messages reach the target nodes quickly and efficiently. It overcomes the challenges posed by the social attributes of nodes, the diversity of network topology, and energy constraints. EALLR utilizes constraints on social strength between nodes, energy status, packet size, and message Time-To-Live (TTL) to optimize routing decisions. By optimizing the selection of routes with minimal energy consumption and adjusting the transmission strategy based on the size of the data packet, the algorithm enhances network energy efficiency and overall transmission efficiency. Simulation tests have proven that EALLR significantly reduces transmission delay while improving message delivery rates, especially in resource-limited and topologically complex network environments, demonstrating superior performance.
ISSN:0098-3063
DOI:10.1109/TCE.2024.3507158