<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN’s. In WSN’s, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN’s for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.</p>
</abstract>

Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN’s. In WSN’s, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN’s for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.

MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

running-head

Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used...

MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

Article Category: Research-Article

Data publikacji: 18 sie 2020

Zakres stron: 1 - 15

Otrzymano: 04 mar 2020

DOI: https://doi.org/10.21307/ijssis-2020-016

Słowa kluczowe
WSN in smart grids, Work sleep approach, Spanning tree, Optimal path cost, Energy efficiency

© 2020 K. Deepa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

Article Category: Research-Article

Data publikacji: 18 sie 2020

Zakres stron: 1 - 15

Otrzymano: 04 mar 2020

DOI: https://doi.org/10.21307/ijssis-2020-016

Słowa kluczoweWSN in smart grids, Work sleep approach, Spanning tree, Optimal path cost, Energy efficiency

© 2020 K. Deepa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
WSN in smart grids, Work sleep approach, Spanning tree, Optimal path cost, Energy efficiency