Routing for Efficient Alarm Aggregation in Smart Grids: A Genetic Algorithm Approach | Zendy

Sérgio Sabino | Zendy; António Grilo | Zendy

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Routing for Efficient Alarm Aggregation in Smart Grids: A Genetic Algorithm Approach

Author(s) -

Sérgio Sabino,

António Grilo

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.04.026

Subject(s) - computer science , wireless sensor network , sink (geography) , computer network , alarm , data aggregator , genetic algorithm , distributed computing , real time computing , materials science , cartography , machine learning , composite material , geography

We propose a Genetic Algorithm based routing scheme to maximize the number of alarm messages received at the sink node in a Wireless Sensor Network embedded in an electric power grid upon a fault/outage detection. In this scenario, sensor nodes rely on their scarce energy storage to operate and report alarm messages to the sink. Sensed data in neighboring nodes tend to be correlated. Therefore, nodes will send redundant data to the sink while wasting energy and congesting the network. In order to mitigate the energy waste and increase the message delivery rate, a data aggregation scheme is proposed.

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