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논문검색

Energy Efficient Traffic Allocation for Resource-constrained Multi-homed WSN Gateway

초록

영어

WSN (Wireless Sensor Network) gateway acts as a bridge between WSN and external networks. Currently, rapid growing demands from various IoTs (Internet of Things) applications are posing critical challenges to the data transmission capability of such gateway. As a promising solution, multi-homed WSN gateway, which is equipped with multiple network interfaces, can obtain enhanced parallel data transmission by jointly utilizing multiple RATs (Radio Access Technologies). However, the multi-homed gateway is a resource-constrained device, so it’s crucial to guarantee the efficiency for both data throughput and resource consumption. Delay and buffer size, simulation results validate that the proposed algorithm can allocate To this end, an energy efficient traffic allocation algorithm for resource-constrained multi-homed WSN gateway is proposed in this paper, which aims at minimizing the gateway's power consumption while guaranteeing the transmission the traffic optimally for the gateway with different constraints and configurations, and it can significantly promote the gateway's energy efficiency in comparison to the traditional method.

목차

Abstract
 1. Introduction
 2. Problem Description and Formulation
 3. Optimal Traffic Allocation Algorithm
 4. Simulation Results
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Wenhao Fan School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China, Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Bihua Tang School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China, Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China
  • Yuan’an Liu School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China, Beijing Key Laboratory of Work Safety Intelligent Monitoring, Beijing University of Posts and Telecommunications, Beijing 100876, China

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