Browsing by Author "Gungor, V. C."

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Bio-inspired routing protocol for WSN-based smart grid applications in the context of Industry 4.0
(WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA, 2019) Faheem, M.; Butt, R. A.; Ashraf, M. W.; Begum, Seema; Ngadi, Md A.; Gungor, V. C.; 0000-0003-4907-6359; 0000-0003-4628-4486; 0000-0003-1591-7041; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
Recently, the advences of Industry 4.0 have paved the way for a systematical deployment of the smart grid (SG) to manage continuously growing energy demand of the 21st century. This even allows the fourth stage of the industrial revolution in the power sector, which is known as the smart grid industry (SGI) 4.0. In SGI 4.0, the industrial wireless sensor networks (WSNs) and the Internet of Things are envisioned as key promising communication technologies for monitoring various SG applications due to their large-scale coverage, fault tolerance characteristics, and cost reduction. However, highly dynamic nature of the SG environments brings several unique challenges caused by systems and operating devices. This results in hampering the quality-of-service communication requirements for WSNs-based SG applications. In SGI 4.0, the routing infrastructure not only requires a reliable but also fulfills the communication requirements of diverse SG applications. Thus, a sophisticated, reliable and QoS-aware multi-hop communications network architecture enabling a real-time exchange of data for various WSNs-based SG applications is essential in SGI 4.0. Hence, this paper proposes a novel bio-inspired self-optimized butterfly mating optimization-based data gathering routing scheme called Self-optimized Intelligent routing protocol (SIRP) for WSNs-based SG applications. The extensive simulations reveal that the proposed scheme achieves its defined goals compared to existing routing schemes designed for WSNs-based applications.
Energy efficient and QoS-aware routing protocol for wireless sensor network-based smart grid applications in the context of industry 4.0
(ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2018) Faheem, M.; Gungor, V. C.; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
Recently, there have been great advances in internet of things (IoT) and wireless sensor networks (WSNs) leading to the fourth industrial revolution in power grid, namely, Smart Grid Industry 4.0 (SGI 4.0). In the Smart Grid Industry 4.0 framework, the WSNs have the potential to improve power grid efficiency by cable replacement, deployment flexibility, and cost reduction. However, the smart grid (SG) environment that the WSNs operate in is very challenging because of equipment noise, dust, heat, electromagnetic interference, multipath effects and fading, which make it difficult for current WSNs to provide reliable communication. For SGI 4.0 to come true, a WSN-based highly reliable communication infrastructure is essential for successful operation of the next-generation electricity power grids. To address this need, in this paper a novel dynamic clustering based energy efficient and quality-of-service (QoS)-aware routing protocol (called EQRP), which is inspired by the real behavior of the bird mating optimization (BMO), has been proposed. The proposed distributed scheme improves network reliability significantly and reduces excessive packets retransmissions for WSN-based SG applications. Performance results show that the proposed protocol has successfully reduced the end-to-end delay and has improved packet delivery ratio, memory utilization, residual energy, and throughput. (C) 2017 Elsevier B.V. All rights reserved.
MQRP: Mobile sinks-based QoS-aware data gathering protocol for wireless sensor networks-based smart grid applications in the context of industry 4.0-based on internet of things
(ELSEVIER SCIENCE BV, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS, 2018) Faheem, Muhammad; Gungor, V. C.; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
The recent advances in internet of things (IoT) and industrial wireless sensor networks (IWSNs) paradigm provide a promising opportunity for upgrading todays elderly electricity industrial systems and even allow the fourth stage of the industrial revolution, referred to as smart grid industry (SGI) 4.0. In SGI 4.0 paradigm, the WSNs are considered as promising solutions due to their advantages, such as cable replacement, ease of deployment, flexibility, and cost reduction. However, harsh and complex smart grid (SG) environments pose great challenges to guarantee reliable communication for WSNs-based SG applications due to equipment noise, electromagnetic interference, multipath effects and fading in SG environments. This results in deteriorating the quality-of-service (QoS) requirements as well as the network lifetime of multi-hop communication-based WSNs for SG applications. Thus, for SGI 4.0 paradigm to come true, a WSN-based highly reliable communication infrastructure is crucial that will wirelessly connect and integrate power system components for more efficient, reliable, and intelligent operations of the next-generation electricity power grids. To address these challenges, in this paper a novel multi-mobile sinks-based QoS-aware data gathering protocol (called MQRP) for WSNs-based SG applications has been proposed to empower SGI 4.0. The extensive simulations study is carried through a network simulation tool called EstiNet9.0. The obtained experimental facts show that the proposed scheme has not only improved the QoS performance metrics, such as packet delivery ratio, memory utilization, control message overhead, residual energy, network lifetime, and throughput, but also reduced packet error rate and end-to-end delay compared to existing data collection schemes. (C) 2017 Elsevier B.V. All rights reserved.
A novel data collection mechanism for smart grids using public transportation buses
(ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2016) Bilgin, B. E.; Baktir, S.; Gungor, V. C.; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Gungor, Vehbi Cagri
In this study, we propose a novel solution for collecting smart meter data by merging Vehicular Ad-Hoc Networks (VANET) and smart grid communication technologies. In our proposed mechanism, Vehicular Ad Hoc Networks are utilized for collecting data from smart meters, eliminating the need for manpower. To the best of our knowledge, this is the first study proposing the utilization of public transportation vehicles for collecting data from smart meters. With this work, the use of the IEEE 802.11p protocol has been proposed for the first time for use in smart grid applications. In our scheme, data flows first from smart meters to a bus through infrastructure-to-vehicle (I2V) communication and then from the bus to a bus stop through vehicle to-infrastructure (V2I) communication. The performance of our proposed mechanism has been investigated in detail in terms of end-to-end delay and delivery ratio by using Network Simulator-2 and with different routing protocols. (C) 2016 Elsevier B.V. All rights reserved.
Smart grid communication and information technologies in the perspective of Industry 4.0: Opportunities and challenges
(ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2018) Faheem, M; Shah, S. B. H; Butt, R. A.; Raza, B; Anwar, M; Ngadi, Md. A.; Gungor, V. C.; Ashraf, M. W.; 0000-0003-4907-6359; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
The fourth industrial revolution known as Industry 4.0 has paved the way for a systematical deployment of the modernized power grid (PG) to manage continuously growing energy demand by integrating renewable energy resources. In the context of Industry 4.0, a smart grid (SG) by employing advanced Information and Communication Technologies (ICTs), intelligent information processing (IIP) and future-oriented techniques (FoT) allows energy utilities to monitor and control power generation, transmission and distribution processes in more efficient, flexible, reliable, sustainable, decentralized, secure and economic manners. Despite providing immense opportunities, SG has many challenges in the context of Industry 4.0 (I 4.0). To this end, this paper presents a comprehensive presentation on critical smart grid components with international standards and information technologies in the context of Industry 4.0. In addition, this study gives an overview of different smart grid applications, their benefits, characteristics, and requirements. Also, this research investigates and explores different wired and wireless communication technologies used in smart grid with their benefits and characteristics. Finally, this article discusses a number of critical challenges and open issues and future research directions. (C) 2018 Elsevier Inc. All rights reserved.
Spectrum-aware bio-inspired routing in cognitive radio sensor networks for smart grid applications
(ELSEVIERRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, 2017) Fadel, E.; Faheem, M.; Gungor, V. C.; Nassef, L.; Akkari, N.; Malik, M. G. A.; Almasri, S.; Akyildiz, I. F.; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü; Faheem, Mohamed H.; Gungor, Vehbi Cagri
Cognitive radio sensor networks (CRSNs) have been proposed to serve as a reliable, robust, and efficient communications infrastructure that can address both the existing and future energy management requirements of the smart grid. The existing and envisioned applications of CRSN-based smart grid include substation automation, overhead transmission line monitoring, home energy management, advanced metering infrastructure, wide-area situational awareness, demand response, outage management, distribution automation, asset management. To realize these applications, in this paper, honey bee mating optimization-based routing and cooperative channel assignment algorithms have been proposed. The developed framework significantly decreases the probability of packet loss and preserves high link quality among sensor nodes in harsh smart grid spectrum environments. The proposed approach performance has been evaluated in terms of packet delivery ratio, delay, and energy consumption demonstrating that it has successfully addressed the QoS requirements of most of the SG applications presented. (C) 2017 Elsevier B.V. All rights reserved.
Wireless MEMS for smart grids
(WOODHEAD PUBL LTDABINGTON HALL ABINGTON, CAMBRIDGE CB1 6AH, CAMBS, ENGLAND, 2017) Tuna, G.; Gungor, V. C.; Dursun, B.; AGÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü
Different from the past, nowadays, consumers demand more flexibility and control in managing their electricity use and are aware of the impacts of the electricity system on the environment. Due to this change in the use of electricity, renewable energy sources such as solar power and wind play a key role. They not only allow consumers to generate their own electricity and sell the excess electricity they have generated, but they also help to reduce greenhouse gases. However, existing power grids primarily move electricity from generators to consumers. As a result, a paradigm shift is required regarding how the electricity system is built and operated. The paradigm shift forces electric utilities to upgrade their power grids to respond to the consumer demands by implementing advancedtechnologies and newmethodsinthe production, delivery, and use of electricity. The modern power grid that emerged from this paradigm shift is called “smart grid (SG).”