Geographic routing protocol for peer-to-peer smart grid neighborhood area network

Rekik, Mouna; Chtourou, Zied; Mitton, Nathalie

doi:10.1109/eeeic.2015.7165437

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…There is no smart grid for all, every energy grid will develop its own applications and services. Therefore, many services and concepts related to smart grid such as Virtual Power Plant (VPP) [42] [43] and distributed energy and storage integration into the grid [44] are expected to require partial or fully distributed control and the ICT deployed in parallel to the electrical grid should be scalable and should not introduce additional constraints to the smart grid development. For this purpose, we plan to study and analyze the applications supported by NAN in order to define NAN communication requirements, and to implement an extension of GRACO that takes account of the QoS required.…”

Section: Resultsmentioning

confidence: 99%

GRACO: a geographic GReedy routing with an ACO based void handling technique

Chtourou

Mitton

Rekik³

2017

IJSNET

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Geographic routing has gained much attention as a basic routing primitive in wireless sensor networks due to its memory-less, scalability, efficiency and low overhead features. Greedy forwarding is the simplest geographic routing scheme, it uses the distance as a forwarding criterion. Nevertheless, it may suffer from communication holes, where no next hop candidate is closer to the destination than the node currently holding the packet. For this purpose, a void handling technique is needed to recover from the void problem and successfully deliver data packets if a path does exist between source and destination nodes. Many approaches have been reported to solve this issue at the expense of extra processing and or overhead. This paper proposes GRACO, an efficient geographic routing protocol with a novel void recovery strategy based on ant colony optimization (ACO). GRACO is able to adaptively adjust the forwarding mechanism to avoid the blocking situation and effectively deliver data packets. Compared to GFG, one of the best performing geographic routing protocols, simulation results demonstrate that GRACO can successfully find shorter routing paths with higher delivery rate, less control packet overhead and shorter end-to-end delay.

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Section: Resultsmentioning

confidence: 99%

GRACO: a geographic GReedy routing with an ACO based void handling technique

Chtourou

Mitton

Rekik³

2017

IJSNET

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“…However, several studies demonstrated that GPSR may generate significant overhead in the cases of multipoint-to-point (MP2P) and pointto-multipoint (P2MP) communications [13]. In a previous work [14], we proposed GRACO, a geographic routing protocol based on ant colonies that offers scalability, selfhealing and self-organization capabilities and supports MP2P, P2MP and point-to-point (P2P) communication modes with low complexity and overhead added compared to GPSR [15]. All these features make GRACO suitable for NAN.…”

Section: Introductionmentioning

confidence: 99%

QoS-aware routing for real-time and reliable wireless sensor network based smart grid NAN communications

Rekik

Mitton

Chtourou

2017

2017 IEEE SmartWorld, Ubiquitous Intelligence &Amp; Computing, Advanced &Amp; Trusted Computed, Scalable Computing &Amp; Commun

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The deployment of Information and Communication Technologies (ICTs) within the conventional power grid has enabled new Smart Grid (SG) features and services. In this work, we focus on data routing within the distribution segment of the SG. We study communication requirements within this part of the power grid and we propose a classification of the data traffic based on Neighbourhood Area Network (NAN) communication requirements in terms of delays and reliability. Then, we introduce QoS-GRACO, a routing protocol which takes account of the Quality of Service (QoS) of NAN's traffic by using coloured pheromones ant colonies. We show, through simulations, that QoS-GRACO is able to satisfy NAN's requirements, especially in terms of delay and reliability.

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“…In AMI, each smart meter is acting as router that forwards meter reading information to a central control centre. To obtain short, fast and reliable transmission, the position of the smart meter [6] is considered.…”

Section: Introductionmentioning

confidence: 99%