Green industrial networking : recent advances, taxonomy, and open research challenges
- Authors: Ahmed, Ejaz , Yaqoob, Ibrar , Ahmed, Ahmed , Gani, Abdullah , Imran, Muhammad , Guizani, Sghaier
- Date: 2016
- Type: Text , Journal article
- Relation: IEEE Communications Magazine Vol. 54, no. 10 (2016), p. 38-45
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- Description: The consciousness of environmental problems has attracted the industry's attention toward the reduction of unnecessary energy emission by enabling green industrial networking. The reduction of unnecessary energy emitted by industrial networks can be a possible solution to many environmental issues. Green industrial networking is in its infancy, and an overview of the domain is still lacking. In this article, we discuss recent advances in industrial and green networking paradigms to investigate the impact on global communities. We also classify the literature by devising a taxonomy based on networking technologies, machines, network types, topologies, field bus types, transmission media, and hierarchical levels. Moreover, we identify and discuss key enablers (adaptive links, resource-based energy conservation, energy-efficient scheduling, energy-aware systems, energy-aware proxying, energy-conservative approaches, and low-power wireless protocols) for green industrial networking. Furthermore, we discuss challenges that remain to be addressed as future research directions. © 2016 IEEE.
Internet-of-things-based smart environments : state of the art, taxonomy, and open research challenges
- Authors: Ahmed, Ejaz , Yaqoob, Ibrar , Gani, Abdullah , Imran, Muhammad , Guizani, Mohsen
- Date: 2016
- Type: Text , Journal article
- Relation: IEEE Wireless Communications Vol. 23, no. 5 (2016), p. 10-16
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- Description: The rapid advancements in communication technologies and the explosive growth of the Internet of Things have enabled the physical world to invisibly interweave with actuators, sensors, and other computational elements while maintaining continuous network connectivity. The continuously connected physical world with computational elements forms a smart environment. A smart environment aims to support and enhance the abilities of its dwellers in executing their tasks, such as navigating through unfamiliar space and moving heavy objects for the elderly, to name a few. Researchers have conducted a number of efforts to use IoT to facilitate our lives and to investigate the effect of IoT-based smart environments on human life. This article surveys the state-of-the-art research efforts to enable IoT-based smart environments. We categorize and classify the literature by devising a taxonomy based on communication enablers, network types, technologies, local area wireless standards, objectives, and characteristics. Moreover, the article highlights the unprecedented opportunities brought about by IoT-based smart environments and their effect on human life. Some reported case studies from different enterprises are also presented. Finally, we discuss open research challenges for enabling IoT-based smart environments. © 2016 IEEE.
Social-aware resource allocation and optimization for D2D communication
- Authors: Ahmed, Ejaz , Yaqoob, Ibrar , Gani, Abdullah , Imran, Muhammad , Guizani, Mohsen
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Wireless Communications Vol. 24, no. 3 (2017), p. 122-129
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- Description: The undiminished growth of research activities to converge social awareness with D2D communication has paved the way for facilitating and providing significant benefits to users. Realizing these benefits depends on efficiently addressing several main technical challenges associated with the convergence. Although there are many research studies related to social networks and D2D communication, convergence of these two areas leads to further research efforts to implement social-aware D2D communication. In this article, we discuss recent advances in the domain of D2D communication from the perspective of social-aware resource allocation and optimization. We also categorize and classify the literature by devising a taxonomy based on channel-centric attributes, objectives, solving approaches, networking technologies, characteristics, and communication types. Moreover, we also outline the key requirements with the aim of providing guidelines for the domain researchers and designers to enable the social-aware resource allocation for D2D communication. Several open research challenges are presented as future research directions. © 2002-2012 IEEE.
Internet-of-things-based smart cities : recent advances and challenges
- Authors: Mehmood, Yasir , Ahmad, Farhan , Yaqoob, Ibrar , Adnane, Asma , Imran, Muhammad , Guizani, Sghaier
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Communications Magazine Vol. 55, no. 9 (2017), p. 16-24
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- Description: The Internet of Things is a novel cutting edge technology that proffers to connect a plethora of digital devices endowed with several sensing, actuation, and computing capabilities with the Internet, thus offering manifold new services in the context of a smart city. The appealing IoT services and big data analytics are enabling smart city initiatives all over the world. These services are transforming cities by improving infrastructure and transportation systems, reducing traffic congestion, providing waste management, and improving the quality of human life. In this article, we devise a taxonomy to best bring forth a generic overview of the IoT paradigm for smart cities, integrated ICT, network types, possible opportunities and major requirements. Moreover, an overview of the up-to-date efforts from standard bodies is presented. Later, we give an overview of existing open source IoT platforms for realizing smart city applications followed by several exemplary case studies. In addition, we summarize the latest synergies and initiatives worldwide taken to promote IoT in the context of smart cities. Finally, we highlight several challenges in order to give future research directions. © 1979-2012 IEEE.
M2M communications in 5G : state-of-the-art architecture, recent advances, and research challenges
- Authors: Mehmood, Yasir , Haider, Noman , Imran, Muhammad , Timm-Giel, Andreas , Guizani, Mohsen
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Communications Magazine Vol. 55, no. 9 (2017), p. 194-201
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- Description: M2M communication offers ubiquitous applications and is one of the leading facilitators of the Internet of Things paradigm. Unlike human-tohuman communication, distinct features of M2M traffic necessitates specialized and interoperable communication technologies. However, most existing solutions offering wired or wireless connectivity have limitations that hinder widespread horizons of M2M applications. To cope with the peculiar nature of M2M traffic, the evolving 5G system considers the integration of key enabling networking technologies for ubiquitous connectivity and guaranteed QoS. This study outlines the state-of-the-art architecture, recent advances, and open research challenges in communication technologies for M2M. Also, an overview of considerable architectural enhancements and novel techniques expected in 5G networks is presented, followed by the resultant services and benefits for M2M communications. © 1979-2012 IEEE.
Intelligent IoT framework for indoor healthcare monitoring of Parkinson's disease patient
- Authors: Raza, Mohsina , Awais, Muhammad , Singh, Nishant , Imran, Muhammad , Hussain, Sajjad
- Date: 2021
- Type: Text , Journal article
- Relation: IEEE Journal on Selected Areas in Communications Vol. 39, no. 2 (2021), p. 593-602
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- Description: Parkinson's disease is associated with high treatment costs, primarily attributed to the needs of hospitalization and frequent care services. A study reveals annual per-person healthcare costs for Parkinson's patients to be $21,482, with an additional $29,695 burden to society. Due to the high stakes and rapidly rising Parkinson's patients' count, it is imperative to introduce intelligent monitoring and analysis systems. In this paper, an Internet of Things (IoT) based framework is proposed to enable remote monitoring, administration, and analysis of patient's conditions in a typical indoor environment. The proposed infrastructure offers both static and dynamic routing, along with delay analysis and priority enabled communications. The scheme also introduces machine learning techniques to detect the progression of Parkinson's over six months using auditory inputs. The proposed IoT infrastructure and machine learning algorithm are thoroughly evaluated and a detailed analysis is performed. The results show that the proposed scheme offers efficient communication scheduling, facilitating a high number of users with low latency. The proposed machine learning scheme also outperforms state-of-the-art techniques in accurately predicting the Parkinson's progression. © 1983-2012 IEEE.
Internet of things architecture : recent advances, taxonomy, requirements, and open challenges
- Authors: Yaqoob, Ibrar , Ahmed, Ejaz , Hashem, Ibrahim , Ahmed, Abdelmuttlib , Gani, Abdullah , Imran, Muhammad , Guizani, Mohsen
- Date: 2017
- Type: Text , Journal article
- Relation: IEEE Wireless Communications Vol. 24, no. 3 (2017), p. 10-16
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- Description: Recent years have witnessed tremendous growth in the number of smart devices, wireless technologies, and sensors. In the foreseeable future, it is expected that trillions of devices will be connected to the Internet. Thus, to accommodate such a voluminous number of devices, scalable, flexible, interoperable, energy-efficient, and secure network architectures are required. This article aims to explore IoT architectures. In this context, first, we investigate, highlight, and report premier research advances made in IoT architecture recently. Then we categorize and classify IoT architectures and devise a taxonomy based on important parameters such as applications, enabling technologies, business objectives, architectural requirements, network topologies, and IoT platform architecture types. We identify and outline the key requirements for future IoT architecture. A few prominent case studies on IoT are discovered and presented. Finally, we enumerate and outline future research challenges. © 2002-2012 IEEE.
Wireless powering internet of things with UAVs : challenges and opportunities
- Authors: Liu, Yalin , Dai, Hong-Ning , Wang, Qubeijian , Imran, Muhammad , Guizani, Nadra
- Date: 2022
- Type: Text , Journal article , Review
- Relation: IEEE Network Vol. 36, no. 2 (2022), p. 146-152
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- Description: Unmanned aerial vehicles (UAVs) have the potential to overcome the deployment constraint of The Internet of Things (IoT) in remote or rural areas. Wirelessly powered communications (WPC) can address the battery limitation of IoT devices through transferring wireless power to IoT devices. The integration of UAVs and WPC, namely UAV-enabled wireless powering IoT (Ue-WPI-o T) can greatly extend the IoT applications from cities to remote or rural areas. In this article, we present a state-of-the-art overview of Ue-WPIoT by first illustrating the working flow of Ue-WPIoT and discussing the challenges. We then introduce the enabling technologies in realizing Ue-WPI-oT. Simulation results validate the effectiveness of the enabling technologies in Ue-WPIoT. We finally outline the future directions and open issues. © 1986-2012 IEEE.
Data size-aware downlink massive mimo : a session-based approach
- Authors: Vu, Tung , Ngo, Hien , Dao, Minh , Matthaiou, Michail , Larsson, Erik
- Date: 2022
- Type: Text , Journal article
- Relation: IEEE Wireless Communications Letters Vol. 11, no. 7 (2022), p. 1468-1472
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- Description: This letter considers the development of transmission strategies for the downlink of massive multiple-input multiple-output networks, with the objective of minimizing the completion time of the transmission. Specifically, we introduce a session-based scheme that splits time into sessions and allocates different rates in different sessions for the different users. In each session, one user is selected to complete its transmission and will not join subsequent sessions, which results in successively lower levels of interference when moving from one session to the next. An algorithm is developed to assign users and allocate transmit power that minimizes the completion time. Numerical results show that our proposed session-based scheme significantly outperforms conventional non-session-based schemes. © 2012 IEEE.
Effective multitask deep learning for IoT malware detection and identification using behavioral traffic analysis
- Authors: Ali, Sajid , Abusabha, Omar , Ali, Farman , Imran, Muhammad , Abuhmed, Tamer
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Network and Service Management Vol. 20, no. 2 (2023), p. 1199-1209
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- Description: Despite the benefits of the Internet of Things (IoT), the growing influx of IoT-specific malware coordinating large-scale cyberattacks via infected IoT devices has created a substantial threat to the Internet ecosystem. Assessing IoT systems' security and developing mitigation measures to prevent the spread of IoT malware is therefore critical. Furthermore, for training and testing the fidelity of cyber security-based Machine Learning (ML) and Deep Learning (DL) approaches, the collection and exploration of information from multiple sources from the IoT are crucial. In this regard, we propose a multitask DL model for detecting IoT malware. Our proposed Long Short-Term Memory (LSTM) based model efficiently performs two tasks: 1) determination of whether the provided traffic is benign or malicious, and 2) determination of the malware type for identifying malicious network traffic. We used large-scale traffic data of 145. pcap files of benign and malicious traffic collected from 18 different IoT devices. We performed a time-series analysis on the packets of traffic flows, which were then used to train the proposed model. The features extracted from the dataset were categorized into three modalities: flow-related, traffic flag-related, and packet payload-related features. A feature selection approach was employed at the feature and modality levels, and the best modalities and features were utilized for performance enhancement. For tasks 1 and 2 and multitask classification, the flow-related and flag-related modalities showed the best testing accuracies of 92.63%, 88.45%, and 95.83%, respectively. © 2004-2012 IEEE.
Interactive distribution expansion and measurement planning considering controlled partitioning
- Authors: Ghamsari-Yazdel, Mohammad , Esmaili, Masoud , Amjady, Nima , Chung, C.
- Date: 2023
- Type: Text , Journal article
- Relation: IEEE Transactions on Smart Grid Vol. 14, no. 4 (2023), p. 2948-2959
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- Description: To model interactions among system expansion, controlled partitioning (CP), and observability, an integrated multi-period framework is developed in this paper for simultaneous planning of distribution systems and measurements with CP constraints (DSMP-CP) in unbalanced multi-phase networks. The proposed framework, employing the network AC model, is formulated as a mixed-integer quadratically-constrained programing problem. This problem minimizes investment costs (including the costs of feeder reinforcement, distributed generation (DG) placement, and allocation of micro-phasor measurement units and their measuring channels) and operation costs (including the costs of DG operation, energy purchased from the upstream grid (UG), re-dispatching of DG and UG injections, and energy curtailment). A phase-based observability function is also introduced to ensure the observability of all phases of buses. Furthermore, the concept of zero-injection (ZI) property is proposed for ZI groups considering physical connections and mutual impedances among phases to enhance observability efficiency and avoid suboptimal solutions. To enhance problem tractability and eliminate linearization errors, a duality-based solution approach is proposed employing an exactness loop with recursive re-linearization. The performance of the proposed framework is evaluated by testing it on the unbalanced IEEE 111-node and 256-node distribution test systems. © 2010-2012 IEEE.