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The Journal of Supercomputing

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05-02-2021

Enhanced traffic-adaptive slotted MAC for IoT-based smart monitoring grid

Authors: Tanvi Sood, Kanika Sharma

Published in: The Journal of Supercomputing | Issue 9/2021

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Abstract

The implementation of a wireless sensor network has been utilized in many applications of urban and rural areas. One such application is smart-grid Internet of Things, (IoT)-based monitoring systems that work on real-time communication. They require an intelligent scheduling mechanism to scrap delay in dynamic traffic flows without undergoing any efficiency loss. This study presents a data-driven TDMA-based paradigm, called traffic-adaptive slot-assignment MAC (TASA-MAC) that supports IoT-channel dynamics in time-critical large-scale monitoring systems while combating the packet delay. The proposed work showcases low run-time scheduler-complexity for low-cost end nodes independent of the network’s scalability owing to TASA-MAC’s optimal fitness-function parameters under intermittent IoT-traffic scenarios, i.e., energy cost and residual energy ratio. The proposed scheduler minimizes the delay of exigency packets while also prompts the system to deliver them before their deadline expiry. The analytical and simulation model of TASA-MAC demonstrates its superiority in terms of moderated delay, packet throughput, and energy demand as compared to the existing models.

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Title: Enhanced traffic-adaptive slotted MAC for IoT-based smart monitoring grid
Authors: Tanvi Sood
Kanika Sharma
Publication date: 05-02-2021
Publisher: Springer US
Published in: The Journal of Supercomputing / Issue 9/2021
Print ISSN: 0920-8542
Electronic ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-020-03588-1

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