Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

Tsado, Yakubu; Gamage, Kelum A. A.; Lund, David J.; Adebisi, Bamidele

doi:10.1109/sst.2016.7765637

Cited by 15 publications

(12 citation statements)

References 14 publications

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“…In CSMA/CA based wireless environments, broadcast transmissions may induce potential problems such as data congestion and packet collision due to shared medium characteristics [16].…”

Section: Efficient Ccn Packet Dissemination By Mpr Devicesmentioning

confidence: 99%

“…In CSMA/CA based wireless environments, broadcast transmissions may induce potential problems such as data congestion and packet collision due to shared medium characteristics [16]. However, CCN only considers the broadcasting approach to transmit packets, which is regarded to be especially error-prone to these environments.…”

Section: Efficient Ccn Packet Dissemination By Mpr Devicesmentioning

confidence: 99%

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Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

Kim

Park

2019

Applied Sciences

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In view of Smart-Grid architecture, wireless Last-Mile Network (LMN) devices as smart meters and intelligent home control machines are normally installed in harsh and lossy communication environment. In order to improve communication reliability of LMN, we proposed Wireless Topology Aware Content Centric Networking (TOP-CCN) protocol. TOP-CCN reduces channel access overhead of traditional Content Centric Networking and supports efficient multicast message transmission by using Multiple Point Relay (MPR), and Publisher MPR (PMPR). In addition, TOP-CCN LMN provides simple multi-hop forwarding scheme that can reduce the traditional routing control message overhead in multi-hop wireless LMN environment. The simulation result shows TOP-CCN can improve the service provisioning time and reliability compared to traditional IP based network model in LMN.

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“…In CSMA/CA based wireless environments, broadcast transmissions may induce potential problems such as data congestion and packet collision due to shared medium characteristics [16].…”

Section: Efficient Ccn Packet Dissemination By Mpr Devicesmentioning

confidence: 99%

Section: Efficient Ccn Packet Dissemination By Mpr Devicesmentioning

confidence: 99%

Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

Kim

Park

2019

Applied Sciences

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“…Therefore, routing protocols for NAN-based WMN must have sufficient capabilities to support QoS routing and the different requirements of target applications. In [11], a performance evaluation and comparison of OLSR and the WMN standard Protocol the HWMP in ns-3 are presented. This paper was used to highlight the use of the OLSR routing protocol in NAN.…”

Section: Routing In Wmn-based Nanmentioning

confidence: 99%

“…This was achieved by presenting a case study to show the application traffic best supported by a link metric type and a demonstration of how the AHP algorithm (Equations (3), (5) and (7)) can be used to map paths calculated by a link metric to an application traffic type. The improvement of this article compared with [11,12] is that this article presents an implementation of the AHP in ns-2 using a simulation topology that represents a worst case scenario of AMI activities (where all smart meter nodes are transmitting four different application traffic types simultaneously to a data concentrator) in a five by five grid size NAN-based WMN. Equations (3), (5) and (7) are a demonstration of how the AHP is calculated, and they reference the proposed methodology presented in the second conference paper.…”

Section: Routing In Wmn-based Nanmentioning

confidence: 99%

Improving the Reliability of Optimised Link State Routing in a Smart Grid Neighbour Area Network based Wireless Mesh Network Using Multiple Metrics

et al. 2017

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Reliable communication is the backbone of advanced metering infrastructure (AMI).Within the AMI, the neighbourhood area network (NAN) transports a multitude of traffic, each with unique requirements. In order to deliver an acceptable level of reliability and latency, the underlying network, such as the wireless mesh network (WMN), must provide or guarantee the quality-of-service (QoS) level required by the respective application traffic. Existing WMN routing protocols, such as optimised link state routing (OLSR), typically utilise a single metric and do not consider the requirements of individual traffic; hence, packets are delivered on a best-effort basis. This paper presents a QoS-aware WMN routing technique that employs multiple metrics in OLSR optimal path selection for AMI applications. The problems arising from this approach are non deterministic polynomial time (NP)-complete in nature, which were solved through the combined use of the analytical hierarchy process (AHP) algorithm and pruning techniques. For smart meters transmitting Internet Protocol (IP) packets of varying sizes at different intervals, the proposed technique considers the constraints of NAN and the applications' traffic characteristics. The technique was developed by combining multiple OLSR path selection metrics with the AHP algorithm in ns-2. Compared with the conventional link metric in OLSR, the results show improvements of about 23% and 45% in latency and Packet Delivery Ratio (PDR), respectively, in a 25-node grid NAN.

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“…Their results showed that the combination of Wi-Fi and LTE can improve control channel and random access channel performance at the cost of tolerable latency degradation. Researchers in [36] further propose the OLSR protocol to route traffic between the nodes in a smart grid.…”

Section: Related Work On Data Communicationsmentioning

confidence: 99%

Smart Grid Data Communication and Analytics

Ahmed¹

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With the popularity of smart electrical appliances and home energy management systems, there have been a massive amount of data generated about the electricity consumption. This data can be beneficial for the utility companies as it provides the behaviour patterns of customers, and thus useful decisions can be made to optimize the load on the grid. In this work, we propose and implement a two-way communication system between the transformer agent (TA), attached to a neighbourhood's electric transformer, and its customer agents (CAs), attached to each house in that neighbourhood. Once data is collected at the TA, it is communicated to the utility which can control and suggest any changes in consumption behaviours. In our system, CAs form a self-healing mesh network with the TA using IP-based Wi-Fi, while TAs communicate with the utility headquarters using the LTE network. Our system is implemented in compliance with the IEEE 2030.5 standard requirements, also known as smart energy profile 2.0. We have performed several tests across the Carleton University campus. We have also tested and implemented this system in real neighbourhoods in Ottawa, including Sandcherry and Viewmount sites to prove the system's operation and reliability. The data obtained from the communication system is stored in a database hosted by IBM Cloud services. Our aim in this work is not only to communicate the data but I would like to express my special gratitude to my supervisor, Prof. Mohamed Ibnkahla, who provided me unparallel academic and moral support throughout the road to finish this thesis. I would also like to extend my warm thanks to Dr. Zied Bouida for his professional mentorship, and always being a source of motivation and encouragement. My special thanks goes to Dr. Waleed Ejaz who supported and guided me through every thick and thin during my stay in Canada. Moreover, I am grateful to my friends at the Sensor Systems and IoT lab for their continuous support. My sincere appreciation goes to Raed Abdullah from Hydro Ottawa Ltd. for his valuable guidance as a mentor. I cannot thank enough to Dr. Javad Fatthi from University of Ottawa for his generous help and contributions, both as a friend and as a colleague. It's a great honor to have Prof. Henry Schriemer, Prof. Ashraf Matrawy and Prof. Chung-Horng Lung as my thesis committee members. Their valuable comments and positive criticism added a great value to my thesis. I am also grateful to Prof. Olga Baysal and Prof. Ana-Maria Cretu for providing academic assistance. My utmost thanks goes to the Pakistani community for their support in difficult times. Most importantly, my praise and thanks is to Allah Almighty, who blessed me with the strength to complete this research. Last but not least, I would like to express my profound gratitude to my loving and caring family for their prayers and support, without which this accomplishment would not have been possible. v

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Performance analysis of variable Smart Grid traffic over ad hoc Wireless Mesh Networks

Cited by 15 publications

References 14 publications

Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

Flooding Message Mitigation of Wireless Content Centric Networking for Last-Mile Smart-Grid

Improving the Reliability of Optimised Link State Routing in a Smart Grid Neighbour Area Network based Wireless Mesh Network Using Multiple Metrics

Smart Grid Data Communication and Analytics

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