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论文类型：期刊论文

发表时间：2018-05-01

发表刊物：IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

收录刊物：SCIE、Scopus

卷号：14

期号：5

页面范围：2042-2051

ISSN号：1551-3203

关键字：Data emergency aware; Internet of Things (IoT); packet scheduling; priority; smart cities

摘要：With the applications of Internet of Things (IoT) for smart cities, the real-time performance for a large number of network packets is facing serious challenge. Thus, how to improve the emergency response has become a critical issue. However, traditional packet scheduling algorithms cannot meet the requirements of the large-scale IoT system for smart cities. To address this shortcoming, this paper proposes EARS, an efficient data-emergency-aware packet scheduling scheme for smart cities. EARS describes the packet emergency information with the packet priority and deadline. Each source node informs the destination node of the packet emergency information before sending the packets. The destination node determines the packet scheduling sequence and processing sequence according to emergency information. Moreover, this paper compares EARS with a first-come, first-served, multilevel queue algorithm and a dynamic multilevel priority packet scheduling algorithm. Simulation results show that EARS outperforms these previous scheduling algorithms in terms of packet loss rate, average packet waiting time, and average packet end-to-end delay.