scholarly journals Multiple Instances QoS Routing in RPL: Application to Smart Grids

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2472 ◽  
Author(s):  
Jad Nassar ◽  
Matthieu Berthomé ◽  
Jérémy Dubrulle ◽  
Nicolas Gouvy ◽  
Nathalie Mitton ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Objective Function ◽  
Smart Grids ◽  
Control Point ◽  
Service Differentiation ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Packet Delivery

The Smart Grid (SG) aims to transform the current electric grid into a “smarter” network where the integration of renewable energy resources, energy efficiency and fault tolerance are the main benefits. This is done by interconnecting every energy source, storage point or central control point with connected devices, where heterogeneous SG applications and signalling messages will have different requirements in terms of reliability, latency and priority. Hence, data routing and prioritization are the main challenges in such networks. So far, RPL (Routing Protocol for Low-Power and Lossy networks) protocol is widely used on Smart Grids for distributing commands over the grid. RPL assures traffic differentiation at the network layer in wireless sensor networks through the logical subdivision of the network in multiple instances, each one relying on a specific Objective Function. However, RPL is not optimized for Smart Grids, as its main objective functions and their associated metric does not allow Quality of Service differentiation. To overcome this, we propose OFQS an objective function with a multi-objective metric that considers the delay and the remaining energy in the battery nodes alongside with the dynamic quality of the communication links. Our function automatically adapts to the number of instances (traffic classes) providing a Quality of Service differentiation based on the different Smart Grid applications requirements. We tested our approach on a real sensor testbed. The experimental results show that our proposal provides a lower packet delivery latency and a higher packet delivery ratio while extending the lifetime of the network compared to solutions in the literature.

scholarly journals Quality-of-Service Differentiation for Smart Grid Neighbor Area Networks

2016 ◽  
Vol 2 (1) ◽  
pp. 20 ◽  
Author(s):  
Gowdemy Rajalingham ◽  
Quang-Dung Ho ◽  
Tho Le-Ngoc
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Large Scale ◽  
Service Differentiation ◽  
Traffic Load ◽  
Network Graph ◽  
Lossy Networks ◽  
Vast Number ◽  
Rural Region

Neighbor Area Networks (NAN) play a crucial role in the Smart Grid Communications Network (SGCN) and provide connectivity for a vast number of smart meters (SMs) while meeting the varying Quality-of-Service (QoS) requirements of different types of Smart Grid (SG) applications. To that effect, this paper explores the incorporation of QoS differentiation at the network layer in order to shape and control traffic of multiple classes in an end-to-end manner for the SG NAN using the Routing Protocol for Low Power and Lossy Networks (RPL). In particular, this paper proposes QoS enabling extensions, RPL-M and RPL-M+, within the RPL framework by associating multiple network graph instances to different SG application requirements. For illustration, the paper considers two deployment scenarios: large-scale dense urban area and microgrid-based remote rural region. Simulation-centric performance evaluation, in terms of latency and throughput, is performed for periodic and critical traffic classes, for two distinct grid conditions, with increasing data traffic load. The rural region is chosen to highlight achievable performance for microgrids and the transferability of results to different grid architectures.

scholarly journals Test Bed for Experimental Studies of Communication Quality in Mobile Self-Organizing Networks

2018 ◽  
Vol 21 (1) ◽  
pp. 89
Author(s):  
I A Kaysina ◽  
D S Vasiliev ◽  
A V Abilov ◽  
A E Kaysin ◽  
A I Nistyuk
Keyword(s):  
Quality Of Service ◽  
Ad Hoc Networks ◽  
Ad Hoc ◽  
Experimental Studies ◽  
Raspberry Pi ◽  
Delivery Ratio ◽  
Test Bed ◽  
Packet Delivery ◽  
Hoc Networks

Описан тестовый стенд, который позволяет произвести оценку эффективности новых алгоритмов кодирования в летающих сенсорных сетях (Flying Ad Hoc Networks, FANET), в том числе и метода сетевого кодирования. В тестовый стенд входят: наземная станция (ноутбук), летающий робот (беспилотный летальный аппарат, БПЛА) и несколько микрокомпьютеров Raspberry Pi 3. С помощью тестового стенда была оценена возможная дальность связи между наземной станцией и летающим роботом, а также доказана возможность реализации сетевого кодирования на промежуточном узле на базе Raspberry Pi 3. Оценка дальности связи между наземной станцией и летающим роботом была произведена с помощью первого сценария. Летающий робот отправлял видеоданные с бортовой камеры на наземную станцию. После сбора всех данных было проанализировано качество обслуживания (quality of service, QoS) и рассчитан коэффициент доставленных пакетов (Packet Delivery Ratio, PDR) с помощью программы анализатора сетевого трафика Wireshark. По результатам измерений была найдена максимальная дальность связи между наземной станцией и летающим роботом с использованием стандарта 802.11n (Wi-Fi). Возможность реализации сетевого кодирования в самоорганизующихся сетях была произведена с помощью второго сценария. Была создана самоорганизующаяся сеть из трех микрокомпьютеров Raspberry Pi 3. Для маршрутизации данных использовался протокол B.A.T.M.A.N., на основе которого может быть проанализирована одна из реализаций метода сетевого кодирования.

scholarly journals Energy-efficient distributed heterogeneous clustered spectrum-aware cognitive radio sensor network for guaranteed quality of service in smart grid

2021 ◽  
Vol 17 (7) ◽  
pp. 155014772110283
Author(s):  
Emmanuel Ogbodo ◽  
David Dorrell ◽  
Adnan Abu-Mahfouz
Keyword(s):  
Quality Of Service ◽  
Cognitive Radio ◽  
Sensor Networks ◽  
Smart Grid ◽  
Sensor Network ◽  
Smart Grids ◽  
Cognitive Radio Sensor Networks ◽  
Cognitive Radio Sensor Network ◽  
Guaranteed Quality

The development of a modern electric power grid has triggered the need for large-scale monitoring and communication in smart grids for efficient grid automation. This has led to the development of smart grids, which utilize cognitive radio sensor networks, which are combinations of cognitive radios and wireless sensor networks. Cognitive radio sensor networks can overcome spectrum limitations and interference challenges. The implementation of dense cognitive radio sensor networks, based on the specific topology of smart grids, is one of the critical issues for guaranteed quality of service through a communication network. In this article, various topologies of ZigBee cognitive radio sensor networks are investigated. Suitable topologies with energy-efficient spectrum-aware algorithms of ZigBee cognitive radio sensor networks in smart grids are proposed. The performance of the proposed ZigBee cognitive radio sensor network model with its control algorithms is analyzed and compared with existing ZigBee sensor network topologies within the smart grid environment. The quality of service metrics used for evaluating the performance are the end-to-end delay, bit error rate, and energy consumption. The simulation results confirm that the proposed topology model is preferable for sensor network deployment in smart grids based on reduced bit error rate, end-to-end delay (latency), and energy consumption. Smart grid applications require prompt, reliable, and efficient communication with low latency. Hence, the proposed topology model supports heterogeneous cognitive radio sensor networks and guarantees network connectivity with spectrum-awareness. Hence, it is suitable for efficient grid automation in cognitive radio sensor network–based smart grids. The traditional model lacks these capability features.

scholarly journals Evaluasi Kinerja Testbed Routing Protocol berbasis NodeMCU ESP8266 pada Perangkat IoT

MIND Journal ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 135-148
Author(s):  
HERIANSYAH HERIANSYAH ◽  
AHMAD REYNALDI NOPRIANSYAH ◽  
SWADEXI ISTIQPHARA
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Ad Hoc ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Delay Jitter

AbstrakJaringan Ad hoc pada perangkat Internet of Things (IoT) mempunyai sifat yang yang dinamis dengan node pada jaringan yang berperan sebagai router dan bergerak bebas secara random tanpa bantuan infrasturktur komunikasi sehingga topologi berubah sangat cepat seiring dengan perubahan posisi. Perubahan ini sangat mempengaruhi kualitas layanan pada perangkat IoT itu sendiri. Penelitian ini bertujuan untuk mengevaluasi protocol routing yang sudah ada dengan cara mengimplementasikan routing protocol tersebut di perangkat testbed berbasis NodeMCU ESP8266. Hal ini bertujuan untuk memilih protocol routing yang paling optimal sebelum proses implementasi dilaksanakan. Pengujian ini berlaku untuk routing protocol yang sudah ada maupun yang baru. Kinerja protocol jaringan  diukur melalui nilai  Quality of Service (QoS) ditempatkan pada scenario berbeda yang terdiri dari throughput, delay, jitter, dan packet delivery ratio sesuai dengan perbedaan beban jaringan, mobilitas, dan ukuran jaringan. Hasil penelitian ini menunjukkan bahwa testbed  yang dibangun berhasil mensimulasikan routing protocol yang ada untuk menghasilkan QoS yang baik pada perangkat IoT.Kata kunci: IoT, routing protocol, testbed, QoS.AbstractAd hoc networks on Internet of Things (IoT) devices have dynamic characteristics where the nodes on this network can operate as routers and move freely randomly without using any communication infrastructure so that the topology changes very quickly along with changes in position. This adjustment has a significant impact on the IoT device's service quality. This study aims to evaluate the existing routing protocols by implementing the routing protocol in a testbed based on NodeMCU ESP8266. It aims to choose the most optimal routing protocol before the implementation process is carried out. This test applies to both existing and new routing protocols. Network protocol performance is measured by the Quality of Service (QoS) value which includes throughput, delay, jitter, and packet delivery ratio in different scenarios based on network load, mobility, and different network sizes. The results show that this study was successful in simulating routing protocol in order to provide good QoS on IoT devices.Keywords: IoT, routing protocol, testbed, QoS.

The Italian Regulatory Framework for Developing Smart Distribution Grids

2012 ◽  
Vol 13 (5) ◽  
Author(s):  
Valeria Olivieri ◽  
Maurizio Delfanti ◽  
Luca Lo Schiavo
Keyword(s):  
Quality Of Service ◽  
Smart Grid ◽  
Distribution System ◽  
Smart Grids ◽  
Low Voltage ◽  
Selection Process ◽  
Renewable Energy Sources ◽  
Regulatory Framework ◽  
System Level

Abstract The integration of Dispersed Generation (DG) is by far the most important and challenging issue that modern power systems are facing nowadays, and is the only way of exploiting Renewable Energy Sources (RES) for electric production. This revolution is running particularly fast in Europe, where significant incentive schemes have been promoted by many Member States in order to match the targets decided by the European institutions. As a consequence of the important share of RES already connected (especially to low voltage and medium voltage networks), new technical challenges have to be faced both at a distribution network level and at a transmission system level. Some of these challenges are covered by Smart grids that represent a new framework for improved management of distribution and transmission networks with attention to interoperability, security, resilience problems, and quality of service (QoS). It is recognized that an intelligent use of Information and Communication Technology (ICT), as enabling technology, is the only approach able to solve new problems arising on energy networks due to larger DG penetration, without hindering system security and QoS.The paper focuses on the Italian case and in particular on the Italian regulatory framework for developing Smart Grids, and describes the technical foundations of the regulatory innovations introduced by the Italian energy regulatory authority (Autorità per l’energia elettrica e il gas - AEEG). After a selection process based on cost/benefit assessment, some demonstration projects for Smart Grid proposed by Distribution System Operators have been awarded with special capital cost remuneration (extra WACC of 2% for 12 years, on top of the ordinary WACC equal to 7% for distribution investments). The smart grid demonstration projects founded by AEEG introduce and test a new advanced management of DG in order to avoid the problems coming from reverse power flowing and maintain the necessary level of security, availability and quality of service.

scholarly journals Analisis Kinerja Protokol Routing AODV dan DSDV

SISTEMASI ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. 215
Author(s):  
Fajar Baihaqy
Keyword(s):  
Quality Of Service ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Packet Delivery Ratio ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
End To End Delay ◽  
End To End

MANET merupakan tipe jaringan khusus yang mampu melibatkan banyak orang atau peralatan komunikasi tanpa ketergantungan terhadap suatu infrastruktur. AODV dan DSDV merupakan contoh routing protocol yang efisien untuk jaringan Ad Hoc pada tipe routing protocol masing-masing. AODV untuk tipe routing protocol reactive dan DSDV untuk tipe routing protocol proactive. Setiap routing protocol tentunya memiliki kemampuan masing-masing, sehingga Quality of Service (QoS) untuk setiap routing protocol akan berbeda juga. Dalam penelitian melakukan analisis QoS pada routing protocol AODV dan DSDV dengan parameter yang di uji adalah Packet Delivery Ratio, Throughput, dan end-to-end Delay. Hasil pengujian memperlihatkan bahwa masing-masing routing protocol yang diteliti, routing protocol AODV memiliki waktu yang lebih cepat dalam proses pengiriman packet ke node selanjutnya. Untuk jumlah paket yang terkirim routing protocol AODV lebih baik dibandingkan DSDV.

scholarly journals MPR selection to the OLSR quality of service in MANET using minmax algorithm

2019 ◽  
Vol 9 (1) ◽  
pp. 417
Author(s):  
Alamsyah Alamsyah ◽  
I Ketut Eddy Purnama ◽  
Eko Setijadi ◽  
Mauridhi Hery Purnomo
Keyword(s):  
Quality Of Service ◽  
Energy Consumption ◽  
Traffic Control ◽  
Topology Control ◽  
Delivery Ratio ◽  
Network Simulator ◽  
Control Packet ◽  
Packet Delivery ◽  
Small Delay

Optimized link state routing (OLSR) is a routing protocol that has a small delay, low traffic control, support the application of denser networks, and adopts the concept of multipoint relays (MPR). The problem of OLSR is routing table updating which continually causes excessive packet delivery, and energy consumption becomes increased. This article proposes the improvement of OLSR performance using the min-max algorithm based on the quality of service (QoS) with considering the density of the node. The Min-max algorithm works in selecting MPR nodes based on the largest signal range. The QoS parameters analyzed with a different number of nodes are packet delivery ratio (PDR), throughput, delay, energy consumption, and topology control (TC). Simulation result of network simulator version 2 (NS-2) shows that OLSR performance using the min-max algorithm can increase PDR of 91.17%, packet loss of 60.77% and reduce topology control packet of 8.07%, energy consumption of 16.82% compared with standard OLSR.

Quality-of-service differentiation and fairness in optical burst-switched networks

2002 ◽  
Author(s):  
Fabrice Poppe ◽  
Koenraad Laevens ◽  
Herman Michiel ◽  
Serge Molenaar
Keyword(s):  
Quality Of Service ◽  
Service Differentiation ◽  
Switched Networks ◽  
Optical Burst
Sign in / Sign up

Export Citation Format

Share Document