Health, link quality and reputation aware routing protocol (HLR-AODV) for Wireless Sensor Network in Smart Power Grid

Farooq, Hasan; Jung, Low Tang

doi:10.1109/iccisci.2012.6297112

Cited by 7 publications

(1 citation statement)

References 30 publications

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“…Recently, wireless sensor network (WSN) is being rapidly utilized for interconnectivity of smart meters [2]. WSN is a class of ad hoc network which organizes the smart meters in an infrastructure less distributed reconfigurable topology.…”

Section: Introductionmentioning

confidence: 99%

Energy, Traffic Load, and Link Quality Aware Ad Hoc Routing Protocol for Wireless Sensor Network Based Smart Metering Infrastructure

Farooq

Jung

2013

International Journal of Distributed Sensor Networks

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Electricity industry is in the midst of revolutionary transition from outdated ageing power infrastructure to an intelligent sophisticated smart grid network utilizing modern communication technologies to enhance power generation, transmission, distribution, and consumption. Smart metering infrastructure is an integral part of the smart power grid revolution. Smart meters, in addition to their primary billing functions, serve as distributed Wireless Sensor Network (WSN) nodes for enhancing grid reliability. Existing ad hoc routing protocols are based on single routing criterion such as hop count. This single routing metric approach can overload and deplete resource constrained smart meters along preferred paths. A protocol is needed which is aware of energy level and traffic congestion of smart metering nodes. In addition, protocol should select route based on link quality for optimal routing. In this paper, a novel WSN ad hoc routing protocol ETL-AODV is proposed for reliable and energy efficient communication of smart metering nodes. Three simulation based case studies are conducted to analyze the performance of the proposed protocol, and relative comparison is provided based on four metrics: (i) packet delivery ratio (PDR), (ii) normalized routing load (NRL) (iii) average energy consumption and (iv) average end-to-end delay.

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Section: Introductionmentioning

confidence: 99%