abderrezak rachedi - Academia.edu (original) (raw)

Papers by abderrezak rachedi

2018 IEEE Global Communications Conference (GLOBECOM)

The amount of data represented by the Internet of Things (IoT) is continually growing and is expe... more The amount of data represented by the Internet of Things (IoT) is continually growing and is expected to reach more than one third of the total amount of Internet traffic by 2020. Wireless sensors pose a great challenge because of the varying radio conditions and the limited energy and computational capabilities they have. This is why we have developed an Objective Function (OF) that uses fuzzy logic to dynamically adapt to variable environments in wireless networks. Simulation results will show that the proposed algorithm increases performance compared to other solutions by up to 15% in terms of throughput and by up to 14% in terms of Packet Delivery Ratio (PDR) without compromising energy consumption.

Peer-to-Peer Networking and Applications

2018 IEEE Global Communications Conference (GLOBECOM)

Future Generation Computer Systems

Information

Providing adapted e-health services, applications, and platforms responds to a growing need for m... more Providing adapted e-health services, applications, and platforms responds to a growing need for medical institutions like hospitals or even homes [...]

Future Generation Computer Systems

Future Generation Computer Systems

IEEE Transactions on Industrial Informatics

T HE successful integration of renewable energy into the power grid is expected to reduce the dep... more T HE successful integration of renewable energy into the power grid is expected to reduce the dependence of the grid on the fossil fuels. The potential renewable energy resources include light, wind, vibration, heat, biofuel, biomass, and tides [1], [2]. It is envisaged that the use of renewable energy will reduce the use of traditional energy resources, such as nuclear, oil, and gas, in the future and this trend will continue in order to reduce the emission of greenhouse gases. The abundance of these renewable distributed energy resources (DERs) at the consumer side may help to develop distributed renewable energy generation at a large scale [3]. The DERs will likely be an integral part of the future electric grid, i.e., the smart grid [4]-[6]. A prominent feature of the smart grid is that it allows for two-way communication between the utility and its customers through information and communication technologies (ICTs) [7]. For this special section of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, we received 67 article submissions. After a detailed and rigorous peer-review process, we have included 19 original and unpublished articles in this special section in the domain of ICTs with an industry perspective for smart grid systems with emphasis on the integration of renewable energy resources. Therefore, this special section focuses on recent developments in the smart grid and its integration with renewable energy resources. We organize these 19 articles into four categories, which are explained in detail below. I. SECURITY, PRIVACY, AND ENCRYPTION TECHNIQUES FOR SG WITH RERS This group contains five articles on security and privacy related aspects of renewable energy resources (RER)-based smart grid (SG) communication systems. Although incorporating distributed renewable energy resources with the SG has several advantages, it also brings security and privacy concerns for both the consumer and the utilities. At the consumer end, residential units and smart meters share critical information, such as the daily electricity demands, pricing and billing information, as well as surplus generated energy to the electricity suppliers.

2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016

Vehicular Communications, 2016

2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO), 2016

In the current day and age, traffic in urban areas is becoming more and more complex leading to c... more In the current day and age, traffic in urban areas is becoming more and more complex leading to congested roads and intersections. Hence, the need for sophisticated traffic control system to reduce the congestion and provide better flow management. In this paper, we present briefly the basic notions and the most important parameters that affects the traffic control. Then, we provide a survey on the main flow management systems that are available in the literature. Some possible future research works and propositions on intelligent traffic control are also provided.

2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), 2015

The aim of this work is to investigate main techniques and technologies enabling user's mobility ... more The aim of this work is to investigate main techniques and technologies enabling user's mobility in wearable health monitoring systems. For this, design requirements for key enabling mechanisms are pointed out, and a number of conceptual and technological recommendations are presented. The whole is schematized and presented into the form of a design framework covering design layers and taking in consideration patient context constraints. This work aspires to bring a further contribution for the conception and possibly the evaluation of health monitoring systems with full support of mobility offering freedom to users while enhancing their life quality

2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016

2016 IEEE International Conference on Communications (ICC), 2016

2015 IEEE Global Communications Conference (GLOBECOM), 2014

Traditional cellular networks have been considered the most promising candidates to support machi... more Traditional cellular networks have been considered the most promising candidates to support machine to machine (M2M) communication mainly due to their ubiquitous coverage. Optimally designed to support human to human (H2H) communication, an innovative access to radio resources is required to accommodate M2M unique features such as the massive number of machine type devices (MTDs) as well as the limited data transmission session. In this paper, we consider a simultaneous access to the spectrum in an M2M/H2H coexistence scenario. Taking the advantage of the new device to device (D2D) communication paradigm, enabled in long term evolution-advanced (LTE-A), we propose to combine M2M and D2D owing to the MTD low transmit power and thus enabling efficiently resource sharing. First, we formulate the resource sharing problem as a maximization of the sum-rate, problem for which the optimal solution has been proved to be non deterministic polynomial time hard (NP-Hard). We next model the problem as a novel interference-aware bipartite graph to overcome the computational complexity of the optimal solution. To solve this problem, we consider here a two-phase resource allocation approach. In the first phase, H2H users resource assignment is performed in a conventional way. In the second phase, we introduce two alternative algorithms, one centralized and one semi-distributed to perform the M2M resource allocation. The computational complexity of both introduced algorithms whose aim is to solve the M2M resource allocation, is of polynomial complexity. Simulation results show that the semi-distributed M2M resource allocation algorithm achieves quite good performance in terms of network aggregate sum-rate with markedly lower communication overhead compared to the centralized one. Index Terms-Machine to machine (M2M), human to human (H2H), device to device (D2D), bipartite graph (BP), resource sharing.

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015

In Single-Input Single-Output (SISO) wireless multi-hop networks, when two or more stations attem... more In Single-Input Single-Output (SISO) wireless multi-hop networks, when two or more stations attempt to transmit at the same time in the same vicinity area, a collision will occur. In this case, the collided packets are discarded and then retransmitted later. In order to deal with collision and to maximize the system's throughput, we propose a new cross-layer design based on multiple transmit and receive antennas (MIMO) capabilities, called MIMOMAX. Transmit filter, receive filter and channel state information (CSI) are exchanged between the PHY and MAC layers to optimize the scheduling of simultaneous transmissions on the same channel. The performance evaluation is conducted using OPNET simulation tool. The results obtained through extensive simulations are compared with those of IEEE 802.11b/g/n single-hop and multi-hop wireless networks. We show that MIMOMAX is less efficient (low throughput and long delays) for single-hop networks. This is due to an underutilization of channel Degrees of Freedom (DoFs). However, it always performs better (high throughput and low packet delay) than the 802.11b/g/n wireless multi-hop networks: up to 30% and 87% as improvements in network throughput compared to the IEEE 802.11n and IEEE 802.11g networks respectively. In addition, we illustrate that MIMOAX is robust and resists to the early network saturation problem.

IEEE Access, 2015

The smart grid is an important hub of interdisciplinary research where researchers from different... more The smart grid is an important hub of interdisciplinary research where researchers from different areas of science and technology combine their efforts to enhance the traditional electrical power grid. Due to these efforts, the traditional electrical grid is now evolving. The envisioned smart grid will bring social, environmental, ethical, legal and economic benefits. Smart grid systems increasingly involve machine-to-machine communication as well as human-to-human, or simple information retrieval. Thus, the dimensionality of the system is massive. The smart grid is the combination of different technologies, including control system theory, communication networks, pervasive computing, embedded sensing devices, electric vehicles, smart cities, renewable energy sources, Internet of Things, wireless sensor networks, cyber physical systems, and green communication. Due to these diverse activities and significant attention from researchers, education activities in the smart grid area are also growing. The smart grid is designed to replace the traditional electrical power grid. The envisioned smart grid typically consists of three networks: Home Area Networks (HANs), Neighborhood Area Networks (NANs), and Wide Area Networks (WANs). HANs connect the devices within the premises of the consumer and connect smart meters, Plug-in Electric Vehicles (PEVs), and distributed renewable energy sources. NANs connect multiple HANs and communicate the collected information to a network gateway. WANs serve as the communication backbone. Communication technologies play a vital role in the successful operation of smart grid. These communication technologies can be adopted based upon the specific features required by HANs, NANs, and WANs. Both wired and the wireless communication technologies can be used in the smart grid [1]. However, wireless communication technologies are suitable for many smart grid applications due to the continuous development in the wireless research domain. One drawback of wireless communication technologies is the limited availability of radio spectrum. The use of cognitive radio in smart grid communication will be helpful to break the spectrum gridlock through advanced radio design and operating in multiple settings, such as underlay, overlay, and interweave [2]. The smart grid is the combination of diverse sets of facilities and technologies. Thus, the monitoring and control of transmission lines, distribution facilities, energy generation plants, and as well as video monitoring of consumer premises

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015

2018 IEEE Global Communications Conference (GLOBECOM)

The amount of data represented by the Internet of Things (IoT) is continually growing and is expe... more The amount of data represented by the Internet of Things (IoT) is continually growing and is expected to reach more than one third of the total amount of Internet traffic by 2020. Wireless sensors pose a great challenge because of the varying radio conditions and the limited energy and computational capabilities they have. This is why we have developed an Objective Function (OF) that uses fuzzy logic to dynamically adapt to variable environments in wireless networks. Simulation results will show that the proposed algorithm increases performance compared to other solutions by up to 15% in terms of throughput and by up to 14% in terms of Packet Delivery Ratio (PDR) without compromising energy consumption.

Peer-to-Peer Networking and Applications

2018 IEEE Global Communications Conference (GLOBECOM)

Future Generation Computer Systems

Information

Providing adapted e-health services, applications, and platforms responds to a growing need for m... more Providing adapted e-health services, applications, and platforms responds to a growing need for medical institutions like hospitals or even homes [...]

Future Generation Computer Systems

Future Generation Computer Systems

IEEE Transactions on Industrial Informatics

T HE successful integration of renewable energy into the power grid is expected to reduce the dep... more T HE successful integration of renewable energy into the power grid is expected to reduce the dependence of the grid on the fossil fuels. The potential renewable energy resources include light, wind, vibration, heat, biofuel, biomass, and tides [1], [2]. It is envisaged that the use of renewable energy will reduce the use of traditional energy resources, such as nuclear, oil, and gas, in the future and this trend will continue in order to reduce the emission of greenhouse gases. The abundance of these renewable distributed energy resources (DERs) at the consumer side may help to develop distributed renewable energy generation at a large scale [3]. The DERs will likely be an integral part of the future electric grid, i.e., the smart grid [4]-[6]. A prominent feature of the smart grid is that it allows for two-way communication between the utility and its customers through information and communication technologies (ICTs) [7]. For this special section of the IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, we received 67 article submissions. After a detailed and rigorous peer-review process, we have included 19 original and unpublished articles in this special section in the domain of ICTs with an industry perspective for smart grid systems with emphasis on the integration of renewable energy resources. Therefore, this special section focuses on recent developments in the smart grid and its integration with renewable energy resources. We organize these 19 articles into four categories, which are explained in detail below. I. SECURITY, PRIVACY, AND ENCRYPTION TECHNIQUES FOR SG WITH RERS This group contains five articles on security and privacy related aspects of renewable energy resources (RER)-based smart grid (SG) communication systems. Although incorporating distributed renewable energy resources with the SG has several advantages, it also brings security and privacy concerns for both the consumer and the utilities. At the consumer end, residential units and smart meters share critical information, such as the daily electricity demands, pricing and billing information, as well as surplus generated energy to the electricity suppliers.

2016 IEEE 15th International Symposium on Network Computing and Applications (NCA), 2016

Vehicular Communications, 2016

2016 International Conference Multidisciplinary Engineering Design Optimization (MEDO), 2016

In the current day and age, traffic in urban areas is becoming more and more complex leading to c... more In the current day and age, traffic in urban areas is becoming more and more complex leading to congested roads and intersections. Hence, the need for sophisticated traffic control system to reduce the congestion and provide better flow management. In this paper, we present briefly the basic notions and the most important parameters that affects the traffic control. Then, we provide a survey on the main flow management systems that are available in the literature. Some possible future research works and propositions on intelligent traffic control are also provided.

2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA), 2015

The aim of this work is to investigate main techniques and technologies enabling user's mobility ... more The aim of this work is to investigate main techniques and technologies enabling user's mobility in wearable health monitoring systems. For this, design requirements for key enabling mechanisms are pointed out, and a number of conceptual and technological recommendations are presented. The whole is schematized and presented into the form of a design framework covering design layers and taking in consideration patient context constraints. This work aspires to bring a further contribution for the conception and possibly the evaluation of health monitoring systems with full support of mobility offering freedom to users while enhancing their life quality

2016 International Wireless Communications and Mobile Computing Conference (IWCMC), 2016

2016 IEEE International Conference on Communications (ICC), 2016

2015 IEEE Global Communications Conference (GLOBECOM), 2014

Traditional cellular networks have been considered the most promising candidates to support machi... more Traditional cellular networks have been considered the most promising candidates to support machine to machine (M2M) communication mainly due to their ubiquitous coverage. Optimally designed to support human to human (H2H) communication, an innovative access to radio resources is required to accommodate M2M unique features such as the massive number of machine type devices (MTDs) as well as the limited data transmission session. In this paper, we consider a simultaneous access to the spectrum in an M2M/H2H coexistence scenario. Taking the advantage of the new device to device (D2D) communication paradigm, enabled in long term evolution-advanced (LTE-A), we propose to combine M2M and D2D owing to the MTD low transmit power and thus enabling efficiently resource sharing. First, we formulate the resource sharing problem as a maximization of the sum-rate, problem for which the optimal solution has been proved to be non deterministic polynomial time hard (NP-Hard). We next model the problem as a novel interference-aware bipartite graph to overcome the computational complexity of the optimal solution. To solve this problem, we consider here a two-phase resource allocation approach. In the first phase, H2H users resource assignment is performed in a conventional way. In the second phase, we introduce two alternative algorithms, one centralized and one semi-distributed to perform the M2M resource allocation. The computational complexity of both introduced algorithms whose aim is to solve the M2M resource allocation, is of polynomial complexity. Simulation results show that the semi-distributed M2M resource allocation algorithm achieves quite good performance in terms of network aggregate sum-rate with markedly lower communication overhead compared to the centralized one. Index Terms-Machine to machine (M2M), human to human (H2H), device to device (D2D), bipartite graph (BP), resource sharing.

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015

In Single-Input Single-Output (SISO) wireless multi-hop networks, when two or more stations attem... more In Single-Input Single-Output (SISO) wireless multi-hop networks, when two or more stations attempt to transmit at the same time in the same vicinity area, a collision will occur. In this case, the collided packets are discarded and then retransmitted later. In order to deal with collision and to maximize the system's throughput, we propose a new cross-layer design based on multiple transmit and receive antennas (MIMO) capabilities, called MIMOMAX. Transmit filter, receive filter and channel state information (CSI) are exchanged between the PHY and MAC layers to optimize the scheduling of simultaneous transmissions on the same channel. The performance evaluation is conducted using OPNET simulation tool. The results obtained through extensive simulations are compared with those of IEEE 802.11b/g/n single-hop and multi-hop wireless networks. We show that MIMOMAX is less efficient (low throughput and long delays) for single-hop networks. This is due to an underutilization of channel Degrees of Freedom (DoFs). However, it always performs better (high throughput and low packet delay) than the 802.11b/g/n wireless multi-hop networks: up to 30% and 87% as improvements in network throughput compared to the IEEE 802.11n and IEEE 802.11g networks respectively. In addition, we illustrate that MIMOAX is robust and resists to the early network saturation problem.

IEEE Access, 2015

The smart grid is an important hub of interdisciplinary research where researchers from different... more The smart grid is an important hub of interdisciplinary research where researchers from different areas of science and technology combine their efforts to enhance the traditional electrical power grid. Due to these efforts, the traditional electrical grid is now evolving. The envisioned smart grid will bring social, environmental, ethical, legal and economic benefits. Smart grid systems increasingly involve machine-to-machine communication as well as human-to-human, or simple information retrieval. Thus, the dimensionality of the system is massive. The smart grid is the combination of different technologies, including control system theory, communication networks, pervasive computing, embedded sensing devices, electric vehicles, smart cities, renewable energy sources, Internet of Things, wireless sensor networks, cyber physical systems, and green communication. Due to these diverse activities and significant attention from researchers, education activities in the smart grid area are also growing. The smart grid is designed to replace the traditional electrical power grid. The envisioned smart grid typically consists of three networks: Home Area Networks (HANs), Neighborhood Area Networks (NANs), and Wide Area Networks (WANs). HANs connect the devices within the premises of the consumer and connect smart meters, Plug-in Electric Vehicles (PEVs), and distributed renewable energy sources. NANs connect multiple HANs and communicate the collected information to a network gateway. WANs serve as the communication backbone. Communication technologies play a vital role in the successful operation of smart grid. These communication technologies can be adopted based upon the specific features required by HANs, NANs, and WANs. Both wired and the wireless communication technologies can be used in the smart grid [1]. However, wireless communication technologies are suitable for many smart grid applications due to the continuous development in the wireless research domain. One drawback of wireless communication technologies is the limited availability of radio spectrum. The use of cognitive radio in smart grid communication will be helpful to break the spectrum gridlock through advanced radio design and operating in multiple settings, such as underlay, overlay, and interweave [2]. The smart grid is the combination of diverse sets of facilities and technologies. Thus, the monitoring and control of transmission lines, distribution facilities, energy generation plants, and as well as video monitoring of consumer premises

2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2015