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Despite the increasing interest in photovoltaic (PV) cell powered small-cell base stations (SBSs), it has not been sufficiently studied yet how different PV cell angles can be utilized to achieve a good match between the energy arrival and consumption at the SBS. This is especially important in an urban environment where cellular network operators often struggle to apply optimal angles to the PV cells...
We propose an Adaptive Monte Carlo algorithm to perform global energy efficient resource allocation for Heterogeneous Cloud Radio Access Network (H-CRAN) architectures, which are forecast as future fifth-generation (5G) networks. We argue that our global proposal offers an efficient solution to the resource allocation for both high and low density scenarios. Our contributions are threefold: (i) the...
Merging Mobile Edge Computing (MEC), which is an emerging paradigm to meet the increasing computation demands from mobile devices, with the dense deployment of Base Stations (BSs), is foreseen as a key step towards the next generation mobile networks. However, new challenges arise for designing energy efficient networks since radio access resources and computing resources of BSs have to be jointly...
With the development of wireless networks, the scale of network optimization problems is growing correspondingly. While algorithms have been designed to reduce complexity in solving these problems under given size, the approach of directly reducing the size of problem has not received much attention. This motivates us to investigate an innovative approach to reduce problem scale while maintaining...
Focus on the problem of finding the optimal path in wireless sensor networks(WSN), considering energy saving requirement, a dynamic energy-saving routing strategy based on ant colony optimization(DERS-ACO) is proposed. Our strategy designs the optimization rule of dynamic state transformation, which increases the search probability of the new node, so as to achieve the purpose of searching the global...
The integration of smart devices and sensors together with extensive data processing capabilities into the electrical power grid is a fundamental infrastructure of Smart Grid's environments. Such capabilities introduce major Data Quality challenges: The optimization of electricity production and consumption in such environments relies on collecting and analyzing vast amounts of sensor-based data samples...
Directional Antennas (DAs) provide higher gain, and reduce interference by directing beams toward the desired receiver. In this paper, we propose a new joint optimization framework considering the energy consumption and throughput in DAs Wireless Mesh Networks (WMNs). We formulate the joint optimization problem as a Mixed Integer Linear Problem (MILP) using a weighted objective function of both the...
Industrial energy consumption represents a large part of the energy flow in world. Industry furnaces belong to group with high energy consumption. Mathematical modelling and simulation cases appear as suitable tools, methods for decreasing energy consumption in this field. A simulation model has been used to determine the best geometry and working parameters of kiln by aim to reduce specific energy...
This tool demonstration describes GEMMA, a tool aimed at optimizing the colors used by Android apps, with the goal of reducing the energy consumption on (AM)OLED displays while keeping the user interface visually attractive for end-users. GEMMA has been developed as a distributed architecture to ensure scalability. It is composed of a Web-based client and processing nodes that are capable of analyzing...
Cooperative communication approaches are being increasingly used to improve the reliability of Wireless Sensor Networks (WSNs) communication, allowing better spatial and temporal diversity. For the success of these techniques, a proper selection of the relay nodes is a crucial task. This paper proposes a new technique, named Smart, for the selection of cooperating WSN nodes according to criteria considered...
Advancements in the design of drones have led to their use in varied environments and applications such as battle field surveillance. In such scenarios, swarms of drones can coordinate to survey a given area. We consider the problem of covering an arbitrary area containing obstacles using multiple drones, i.e., the so-called coverage path planning (CPP) problem. The goal of the CPP problem is to find...
Diphenyl carbonate is a very important precursor of polycarbonate. Therefore environmental friendly chemical routes and low-cost processes are necessary to cope with its demand. In this study, a new green route to produce diphenyl carbonate and methyl acetate from the reaction between phenyl acetate and dimethyl carbonate was adopted. Also, reactive distillation (RD) is the adopted process to do the...
Heterogeneous cellular network (HCN), which generally consists of small cell base stations (SBSs) and macro base stations (MBSs), is proposed as a promising scheme to improve the capacity of the cellular network. However, huge energy consumption by the densely deployed SBSs arises as a challenging problem that should be addressed properly to fulfill the potential of HCNs. In this paper, we aim to...
A new decentralized hypothesis detection framework is developed, where local sensors are memoryless, receive independent observations, and minimum feedback from the fusion center. In addition to the standard criterion of minimizing detection delay under error probability constraints, an additional constraint on the number of communications between local sensors and the fusion center is introduced...
We investigate in this paper the assessment of the energy efficiency of a wireless access network per service category. We consider five categories of service, two categories with high traffic: streaming and web browsing, and three other with lower traffic: download, voice and other minor data services. We introduce two scenarios, one where some services are mandatory, it is typically the case of...
The issue of diminishing global energy resources has been of significant concern in recent years. One of the most energy hungry components is the Air-Conditioning and Mechanical Ventilation (ACMV) Systems for buildings, which consumes more than 40% of the total building energy consumed on average. Since people are spending more time staying indoor, the indoor environmental conditions have to be taken...
As the most sustainable means of modern transportation, the railway trains are eagerly approaching autonomous driving due to their congenital advantages on operating environments compare to, e.g., road traffics. The intelligent automatic train driving aims at train control with a goal of energy efficiency, punctuality and safety. The derivation of an optimized train driving solution by taking advantage...
Energy optimization in cellular networks has been studied using different perspectives in the literature: sleep patterns, network interference, association of users and base stations, resource allocation of resources (bandwidth and power), etc. All these means have been discussed individually in previous works. However, none of the existing works has succeeded in proposing an exact mathematical model...
The efficient deployment of Internet of Things (IoT) over cellular networks, such as Long Term Evolution (LTE) or the next generation 5G, entails several challenges. For massive IoT, reducing the energy consumption on the device side becomes essential. One of the main characteristics of massive IoT is small data transmissions. To improve the support of them, the 3GPP has included two novel optimizations...
The paper presents a design strategy of the traffic flow with vehicles using look-ahead cruise control methods. The purpose of the coordination is to improve the energy efficiency of the vehicles, while the stability and the performance of the traffic system are guaranteed. The impact of the look-ahead cruise control on the traffic flow is analyzed. A new model concerning a polynomial form of the...
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