Reference : Latency Minimization in Wireless IoT Using Prioritized Channel Access and Data Aggregation
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Electrical & electronics engineering
Latency Minimization in Wireless IoT Using Prioritized Channel Access and Data Aggregation
Bhandari, Sabin []
Sharma, Shree Krishna [University of Western Ontario, ON, Canada]
Wang, Xianbin []
Proc. IEEE Global Communications (GLOBECOM) Conf. 2018
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
4-8 Dec. 2017
Singapore, Singapore
[en] IoT ; Latency minimization ; Queuing theory ; Cloud computing ; Prioritized channel access ; Wireless MAC
[en] Future Internet of Things (IoT) networks are expected to support a massive number of heterogeneous devices/sensors in diverse applications ranging from eHealthcare to industrial control systems. In highly-dense deployment scenarios such as industrial IoT systems, providing reliable communication links with low-latency becomes challenging due to the involved system delay including data acquisition and processing latencies at the edge-side of IoT networks. In this regard, this paper proposes a priority-based channel access and data aggregation scheme at the Cluster Head (CH) to reduce channel access and queuing delays in a clustered industrial IoT network. First, a prioritized channel access mechanism is developed by assigning different Medium Access Control (MAC) layer attributes to the packets coming from two types of IoT nodes, namely, high-priority and low-priority nodes, based on the application-specific information provided from the cloud-center. Subsequently, a preemptive M/G/1 queuing model is employed by using separate low-priority and high- priority queues before sending aggregated data to the Cloud. Our results show that the proposed priority-based method significantly improves the system latency and reliability as compared to the non-prioritized scheme.
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