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- W4384518985 abstract "Many-to-many/all-to-all sharing of data is one of the common requirements in any distributed/decentralized system. In low-power wireless distributed systems composed of highly resource-constrained devices, a many-to-many data-sharing strategy needs to be not only efficient but also sufficiently simple in nature. Advancements in the field of <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>synchronous transmission</i> (ST) have proliferated a number of efficient data-sharing strategies for low-power systems. In this work, we first identify the fundamental and simple possible approaches to accomplish the goal. Through extensive simulation-based comparison among them, we demonstrate the superiority of the approach adopted by a strategy called <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>MiniCast</i> where the desired task is achieved through pipelined execution of the one-to-many floods from the designated source nodes. However, through further in-depth study, we identify certain crucial flaws in MiniCast, which are mostly caused by its substandard realization through radio-event-triggered architecture. To circumvent the problems, we propose a new strategy <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>TimeCast</i> where the <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>radio-event-triggered</i> architecture of MiniCast is replaced by a <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>time-triggered</i> architecture. Through rigorous experimental studies in IoT-testbeds, we demonstrate that TimeCast substantially improves the robustness, and thus, due to lesser failures, it achieves all-to-all data-sharing up to 57.1% faster while consuming up to 63.6% lesser radio- <sc xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>on</small> time compared to MiniCast." @default.
- W4384518985 created "2023-07-18" @default.
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- W4384518985 date "2023-01-01" @default.
- W4384518985 modified "2023-10-16" @default.
- W4384518985 title "TimeCast: Real-Time Many-to-Many Data-Sharing in Low-Power Wireless Distributed Systems" @default.
- W4384518985 doi "https://doi.org/10.1109/jsyst.2023.3292892" @default.
- W4384518985 hasPublicationYear "2023" @default.
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