Collaborative Load Management in Smart Home Area Network
Jagnyashini Debadarshini, Sudipta Saha

TL;DR
This paper proposes a decentralized IoT-based strategy for smart home networks that significantly reduces peak load and load variations, enhancing efficiency and stability in energy management.
Contribution
It introduces a novel decentralized coordination approach using synchronous transmission to improve load management in smart home networks.
Findings
Peak load reduced by up to 50%
Load variations decreased by up to 58%
Effective even with high request rates for appliances
Abstract
An efficient Home Area Network (HAN) acts as a base of an Advanced Metering Infrastructure (AMI). A HAN not only facilitates AMI with efficient real-time monitoring of the electricity consumption but also manages the load profile of the whole system. However, the existing works on implementing HAN are mostly centralized and suffer from well-known problems. In this work, we propose an IoT-based efficient decentralized strategy using synchronous transmission to practically realize HAN. An inter-device coordination strategy is proposed to minimize the peak load as well as reduce the sudden changes in the overall system without compromising the users requirements. Through experiments over IoT-testbeds, we demonstrate that the proposed strategy can reduce the peak load upto 50% and reduce the load variations upto 58% for even a high and random rate of requests for execution of power-hungry…
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Taxonomy
TopicsSmart Grid Energy Management · Caching and Content Delivery · Energy Harvesting in Wireless Networks
