An Interference-Aware Optimal Data Collection Scheduling for Wi-SUN Advanced Metering Infrastructure Network

An Interference-Aware Optimal Data Collection Scheduling for Wi-SUN Advanced Metering Infrastructure Network
Title:
An Interference-Aware Optimal Data Collection Scheduling for Wi-SUN Advanced Metering Infrastructure Network
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Proceedings of The 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Publication Date:
28 May 2020
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Abstract:
Advanced metering infrastructure (AMI) based on Wireless Smart Utility Network (Wi-SUN) employs carrier sense multiple access (CSMA), hence suffers from poor network performance when the number of nodes increases but without proper design of data collection scheduling. In this paper, we introduce an interference-aware TDMA-like optimal data collection scheduling, in which a link-timeslot assignment problem is formed by considering interference constraint to achieve better spatial timeslot reuse. A constraint for achieving consecutive flow for multi-hop transmission is also introduced to avoid modifications on the original CSMA protocol, and hence the proposed scheduling is standard compliant. Our results show that the proposed scheduling reduces the total data collection time of Wi-SUN AMI network with 100(200) smart meters by 59%(48%), 33%(32%), and 19%(13%), respectively, when compared with conventional Wi-SUN AMI, conventional TDMA scheduling and heuristic scheduling based on 2-rank distance interference model.
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Funding Info:
This research is supported by the National Research Foundation, Prime Minister’s Office, Singapore under the Energy Programme (EP Award No.NRF2017EWT-EP003-047) and administrated by the Energy Market Authority.
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