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Faculty of Engineering and Built Environment

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    Data re-sequencing in Smart Grids
    (IEEE, 2016-11) Khumalo, Zephaniah Philani; Nleya, Bahke
    Currently, legacy electrical power grids are being modernized into Smart Grids. These will in turn play a crucial role in real-time balancing between energy productions versus energy consumption. Each Smart Grids will dedicate an advanced metering infrastructure that facilitates collection, storing as well as analyzing data from smart meters to the authorized parties, and also carrying commands, requests, messages and software up­dates from the authorized parties to the smart meters. As such, data aggregation as well as unimpeded data relaying is a prerequisite for guaranteeing a large acceptance and deployment of Smart Grids. In this paper we provide an overview framework for analyzing packet re-sequencing within the Smart Grid. We utilize the random shortest path calculation algorithm to select the desired routes from source to a given destination. It is from among these that ultimately multipath (dual path) routing of the Advanced Metering Infrastructure data is car­ried out, hence resulting in re-sequencing necessities.