161 research outputs found

    Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms

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    Recently wireless mesh networks (WMNs) gained significant roles in the current communication technologies and have been used in numerous applications such as transportation systems, rescue systems, Surveillance systems, community and neighborhood networking and etc. Therefore, many researchers pay their attention to the wireless mesh network issues especially the gateway placement optimization problems. In this paper, we study and investigate the efforts of many researchers that dealt with the gateway placement optimization problem based on combinatorial optimization concepts in comparison with other conventional algorithms as well as comparing the combinatorial based algorithms with each other. The investigation result shows that the genetic algorithms based approaches on solving gateway optimization problem relatively outperform many other approaches in addition to that the strength of the genetic algorithm depends on the fitness function which is used in measuring the quality of the individuals (fitness value)

    Optimizing infrastructure placement in Wireless Mesh Networks

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    Wireless Mesh Networks (WMNs) are a promising flexible and low cost technology to efficiently deliver broadband services to communities. In a WMN, a mesh router is deployed at each house, which acts both as a local access point and a relay to other nearby houses. Since mesh routers typically consist of off-the-shelf equipment, the major cost of the network is in the placement and management of Internet Transit Access Points (ITAP) which act as the connection to the internet. In designing a WMN, we therefore aimed to minimize the number of ITAPs required whilst maximizing the traffic that could be served to each house. We investigated heuristic and meta-heuristic approaches with an efficient combination of move operators to solve these placement problems by using single and multi-objective formulations. Many real-world optimisation problems involve dealing with multiple and sometimes conflicting objectives. A multi-objective approach to optimize WMN infrastructure placement design with three conflicting objectives is presented: it aims to minimize the number of ITAPs, maximize the fairness of bandwidth allocation and maximize the coverage to mesh clients. We discuss how such an approach could allow more effective ITAP deployment, enabling a greater number of consumers to obtain internet services. Two approaches are compared during our investigation of multi-objective optimization, namely the weighted sum approach and the use of an evolutionary algorithm. In this thesis we investigate a multi-objective optimization algorithm to solve the WMN infrastructure placement problem. The move operators demonstrate their efficiency when compared to simple Hill Climbing (HC) and Simulated Annealing (SA) for the single objective method

    Network-on-Chip

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    Addresses the Challenges Associated with System-on-Chip Integration Network-on-Chip: The Next Generation of System-on-Chip Integration examines the current issues restricting chip-on-chip communication efficiency, and explores Network-on-chip (NoC), a promising alternative that equips designers with the capability to produce a scalable, reusable, and high-performance communication backbone by allowing for the integration of a large number of cores on a single system-on-chip (SoC). This book provides a basic overview of topics associated with NoC-based design: communication infrastructure design, communication methodology, evaluation framework, and mapping of applications onto NoC. It details the design and evaluation of different proposed NoC structures, low-power techniques, signal integrity and reliability issues, application mapping, testing, and future trends. Utilizing examples of chips that have been implemented in industry and academia, this text presents the full architectural design of components verified through implementation in industrial CAD tools. It describes NoC research and developments, incorporates theoretical proofs strengthening the analysis procedures, and includes algorithms used in NoC design and synthesis. In addition, it considers other upcoming NoC issues, such as low-power NoC design, signal integrity issues, NoC testing, reconfiguration, synthesis, and 3-D NoC design. This text comprises 12 chapters and covers: The evolution of NoC from SoCโ€”its research and developmental challenges NoC protocols, elaborating flow control, available network topologies, routing mechanisms, fault tolerance, quality-of-service support, and the design of network interfaces The router design strategies followed in NoCs The evaluation mechanism of NoC architectures The application mapping strategies followed in NoCs Low-power design techniques specifically followed in NoCs The signal integrity and reliability issues of NoC The details of NoC testing strategies reported so far The problem of synthesizing application-specific NoCs Reconfigurable NoC design issues Direction of future research and development in the field of NoC Network-on-Chip: The Next Generation of System-on-Chip Integration covers the basic topics, technology, and future trends relevant to NoC-based design, and can be used by engineers, students, and researchers and other industry professionals interested in computer architecture, embedded systems, and parallel/distributed systems

    Radio Resource Management for Wireless Mesh Networks Supporting Heterogeneous Traffic

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    Wireless mesh networking has emerged as a promising technology for future broadband wireless access, providing a viable and economical solution for both peer-to-peer applications and Internet access. The success of wireless mesh networks (WMNs) is highly contingent on effective radio resource management. In conventional wireless networks, system throughput is usually a common performance metric. However, next-generation broadband wireless access networks including WMNs are anticipated to support multimedia traffic (e.g., voice, video, and data traffic). With heterogeneous traffic, quality-of-service (QoS) provisioning and fairness support are also imperative. Recently, wireless mesh networking for suburban/rural residential areas has been attracting a plethora of attentions from industry and academia. With austere suburban and rural networking environments, multi-hop communications with decentralized resource allocation are preferred. In WMNs without powerful centralized control, simple yet effective resource allocation approaches are desired for the sake of system performance melioration. In this dissertation, we conduct a comprehensive research study on the topic of radio resource management for WMNs supporting multimedia traffic. In specific, this dissertation is intended to shed light on how to effectively and efficiently manage a WMN for suburban/rural residential areas, provide users with high-speed wireless access, support the QoS of multimedia applications, and improve spectrum utilization by means of novel radio resource allocation. As such, five important resource allocation problems for WMNs are addressed, and our research accomplishments are briefly outlined as follows: Firstly, we propose a novel node clustering algorithm with effective subcarrier allocation for WMNs. The proposed node clustering algorithm is QoS-aware, and the subcarrier allocation is optimality-driven and can be performed in a decentralized manner. Simulation results show that, compared to a conventional conflict-graph approach, our proposed approach effectively fosters frequency reuse, thereby improving system performance; Secondly, we propose three approaches for joint power-frequency-time resource allocation. Simulation results show that all of the proposed approaches are effective in provisioning packet-level QoS over their conventional resource allocation counterparts. Our proposed approaches are of low complexity, leading to preferred candidates for practical implementation; Thirdly, to further enhance system performance, we propose two low-complexity node cooperative resource allocation approaches for WMNs with partner selection/allocation. Simulation results show that, with beneficial node cooperation, both proposed approaches are promising in supporting QoS and elevating system throughput over their non-cooperative counterparts; Fourthly, to further utilize the temporarily available radio spectrum, we propose a simple channel sensing order for unlicensed secondary users. By sensing the channels according to the descending order of their achievable rates, we prove that a secondary user should stop at the first sensed free channel for the sake of optimality; and Lastly, we derive a unified optimization framework to effectively attain different degrees of performance tradeoff between throughput and fairness with QoS support. By introducing a bargaining floor, the optimal tradeoff curve between system throughput and fairness can be obtained by solving the proposed optimization problem iteratively

    ์˜จ ์นฉ ๋„คํŠธ์›Œํฌ ์„ค๊ณ„: ๋งคํ•‘, ๊ด€๋ฆฌ, ๋ผ์šฐํŒ…

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์ „๊ธฐยท์ •๋ณด๊ณตํ•™๋ถ€, 2016. 2. ์ตœ๊ธฐ์˜.์ง€๋‚œ ์ˆ˜์‹ญ ๋…„๊ฐ„ ์ด์–ด์ง„ ๋ฐ˜๋„์ฒด ๊ธฐ์ˆ ์˜ ํ–ฅ์ƒ์€ ๋งค๋‹ˆ ์ฝ”์–ด์˜ ์‹œ๋Œ€๋ฅผ ๊ฐ€์ ธ๋‹ค ์ฃผ์—ˆ๋‹ค. ์šฐ๋ฆฌ๊ฐ€ ์ผ์ƒ ์ƒํ™œ์— ์“ฐ๋Š” ๋ฐ์Šคํฌํ†ฑ ์ปดํ“จํ„ฐ์กฐ์ฐจ๋„ ์ด๋ฏธ ์ˆ˜ ๊ฐœ์˜ ์ฝ”์–ด๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์œผ๋ฉฐ, ์ˆ˜๋ฐฑ ๊ฐœ์˜ ์ฝ”์–ด๋ฅผ ๊ฐ€์ง„ ์นฉ๋„ ์ƒ์šฉํ™”๋˜์–ด ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋งŽ์€ ์ฝ”์–ด๋“ค ๊ฐ„์˜ ํ†ต์‹  ๊ธฐ๋ฐ˜์œผ๋กœ์„œ, ๋„คํŠธ์›Œํฌ-์˜จ-์นฉ(NoC)์ด ์ƒˆ๋กœ์ด ๋Œ€๋‘๋˜์—ˆ์œผ๋ฉฐ, ์ด๋Š” ํ˜„์žฌ ๋งŽ์€ ์—ฐ๊ตฌ ๋ฐ ์ƒ์šฉ ์ œํ’ˆ์—์„œ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋„คํŠธ์›Œํฌ-์˜จ-์นฉ์„ ๋งค๋‹ˆ ์ฝ”์–ด ์‹œ์Šคํ…œ์— ์‚ฌ์šฉํ•˜๋Š” ๋ฐ์—๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ๋ฌธ์ œ๊ฐ€ ๋”ฐ๋ฅด๋ฉฐ, ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ทธ ์ค‘ ๋ช‡ ๊ฐ€์ง€๋ฅผ ํ’€์–ด๋‚ด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์˜ ๋‘ ๋ฒˆ์งธ ์ฑ•ํ„ฐ์—์„œ๋Š” NoC ๊ธฐ๋ฐ˜ ๋งค๋‹ˆ์ฝ”์–ด ๊ตฌ์กฐ์— ์ž‘์—…์„ ํ• ๋‹นํ•˜๊ณ  ์Šค์ผ€์ฅดํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๋‹ค๋ฃจ์—ˆ๋‹ค. ๋งค๋‹ˆ์ฝ”์–ด์—์˜ ์ž‘์—… ํ• ๋‹น์„ ๋‹ค๋ฃฌ ๋…ผ๋ฌธ์€ ์ด๋ฏธ ๋งŽ์ด ์ถœํŒ๋˜์—ˆ์ง€๋งŒ, ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฉ”์‹œ์ง€ ํŒจ์‹ฑ๊ณผ ๊ณต์œ  ๋ฉ”๋ชจ๋ฆฌ, ๋‘ ๊ฐ€์ง€์˜ ํ†ต์‹  ๋ฐฉ์‹์„ ๊ณ ๋ คํ•จ์œผ๋กœ์จ ์„ฑ๋Šฅ๊ณผ ์—๋„ˆ์ง€ ํšจ์œจ์„ ๊ฐœ์„ ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ๋ณธ ์—ฐ๊ตฌ๋Š” ์—ญ๋ฐฉํ–ฅ ์˜์กด์„ฑ์„ ๊ฐ€์ง„ ์ž‘์—… ๊ทธ๋ž˜ํ”„๋ฅผ ์Šค์ผ€์ฅดํ•˜๋Š” ๋ฐฉ๋ฒ• ๋˜ํ•œ ์ œ์‹œํ•˜์˜€๋‹ค. 3์ฐจ์› ์ ์ธต ๊ธฐ์ˆ ์€ ๋†’์•„์ง„ ์ „๋ ฅ ๋ฐ€๋„ ๋•Œ๋ฌธ์— ์—ด ๋ฌธ์ œ๊ฐ€ ์‹ฌ๊ฐํ•ด์ง€๋Š” ๋“ฑ, ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ๋„์ „ ๊ณผ์ œ๋ฅผ ๋‚ดํฌํ•˜๊ณ  ์žˆ๋‹ค. ์„ธ ๋ฒˆ์งธ ์ฑ•ํ„ฐ์—์„œ๋Š” DVFS ๊ธฐ์ˆ ์„ ์ด์šฉํ•˜์—ฌ ์—ด ๋ฌธ์ œ๋ฅผ ์™„ํ™”ํ•˜๊ณ ์ž ํ•˜๋Š” ๊ธฐ์ˆ ์„ ์†Œ๊ฐœํ•œ๋‹ค. ๊ฐ ์ฝ”์–ด์™€ ๋ผ์šฐํ„ฐ๊ฐ€ ์ „์••, ์ž‘๋™ ์†๋„๋ฅผ ์กฐ์ ˆํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ์กฐ์—์„œ, ๊ฐ€์žฅ ๋†’์€ ์„ฑ๋Šฅ์„ ์ด๋Œ์–ด ๋‚ด๋ฉด์„œ๋„ ์ตœ๋Œ€ ์˜จ๋„๋ฅผ ๋„˜์–ด์„œ์ง€ ์•Š๋„๋ก ํ•œ๋‹ค. ์„ธ ๋ฒˆ์งธ์™€ ๋„ค ๋ฒˆ์งธ ์ฑ•ํ„ฐ๋Š” ์กฐ๊ธˆ ๋‹ค๋ฅธ ์ธก๋ฉด์„ ๋‹ค๋ฃฌ๋‹ค. 3D ์ ์ธต ๊ธฐ์ˆ ์„ ์‚ฌ์šฉํ•  ๋•Œ, ์ธต๊ฐ„ ํ†ต์‹ ์€ ์ฃผ๋กœ TSV๋ฅผ ์ด์šฉํ•˜์—ฌ ์ด๋ฃจ์–ด์ง„๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ TSV๋Š” ์ผ๋ฐ˜ wire๋ณด๋‹ค ํ›จ์”ฌ ํฐ ๋ฉด์ ์„ ์ฐจ์ง€ํ•˜๊ธฐ ๋•Œ๋ฌธ์—, ์ „์ฒด ๋„คํŠธ์›Œํฌ์—์„œ์˜ TSV ๊ฐœ์ˆ˜๋Š” ์ œํ•œ๋˜์–ด์•ผ ํ•  ๊ฒฝ์šฐ๊ฐ€ ๋งŽ๋‹ค. ์ด ๊ฒฝ์šฐ์—๋Š” ๋‘ ๊ฐ€์ง€ ์„ ํƒ์ง€๊ฐ€ ์žˆ๋Š”๋ฐ, ์ฒซ์งธ๋Š” ๊ฐ ์ธต๊ฐ„ ํ†ต์‹  ์ฑ„๋„์˜ ๋Œ€์—ญํญ์„ ์ค„์ด๋Š” ๊ฒƒ์ด๊ณ , ๋‘˜์งธ๋Š” ๊ฐ ์ฑ„๋„์˜ ๋Œ€์—ญํญ์€ ์œ ์ง€ํ•˜๋˜ ์ผ๋ถ€ ๋…ธ๋“œ๋งŒ ์ธต๊ฐ„ ํ†ต์‹ ์ด ๊ฐ€๋Šฅํ•œ ์ฑ„๋„์„ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์šฐ๋ฆฌ๋Š” ๊ฐ๊ฐ์˜ ๊ฒฝ์šฐ์— ๋Œ€ํ•˜์—ฌ ๋ผ์šฐํŒ… ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ•˜๋‚˜์”ฉ ์ œ์‹œํ•œ๋‹ค. ์ฒซ ๋ฒˆ์งธ ๊ฒฝ์šฐ์— ์žˆ์–ด์„œ๋Š” deflection ๋ผ์šฐํŒ… ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์ธต๊ฐ„ ํ†ต์‹ ์˜ ๊ธด ์ง€์—ฐ ์‹œ๊ฐ„์„ ๊ทน๋ณตํ•˜๊ณ ์ž ํ•˜์˜€๋‹ค. ์ธต๊ฐ„ ํ†ต์‹ ์„ ๊ท ๋“ฑํ•˜๊ฒŒ ๋ถ„๋ฐฐํ•จ์œผ๋กœ์จ, ์ œ์‹œ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ฐœ์„ ๋œ ์ง€์—ฐ ์‹œ๊ฐ„์„ ๋ณด์ด๋ฉฐ ๋ผ์šฐํ„ฐ ๋ฒ„ํผ์˜ ์ œ๊ฑฐ๋ฅผ ํ†ตํ•œ ๋ฉด์  ๋ฐ ์—๋„ˆ์ง€ ํšจ์œจ์„ฑ ๋˜ํ•œ ์–ป์„ ์ˆ˜ ์žˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ๊ฒฝ์šฐ์—์„œ๋Š” ์ธต๊ฐ„ ํ†ต์‹  ์ฑ„๋„์„ ์„ ํƒํ•˜๊ธฐ ์œ„ํ•œ ๋ช‡ ๊ฐ€์ง€ ๊ทœ์น™์„ ์ œ์‹œํ•œ๋‹ค. ์•ฝ๊ฐ„์˜ ๋ผ์šฐํŒ… ์ž์œ ๋„๋ฅผ ํฌ์ƒํ•จ์œผ๋กœ์จ, ์ œ์‹œ๋œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์€ ๊ธฐ์กด ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๊ฐ€์ƒ ์ฑ„๋„ ์š”๊ตฌ ์กฐ๊ฑด์„ ์ œ๊ฑฐํ•˜๊ณ , ๊ฒฐ๊ณผ์ ์œผ๋กœ๋Š” ์„ฑ๋Šฅ ๋˜๋Š” ์—๋„ˆ์ง€ ํšจ์œจ์˜ ์ฆ๊ฐ€๋ฅผ ๊ฐ€์ ธ ์˜จ๋‹ค.For decades, advance in semiconductor technology has led us to the era of many-core systems. Today's desktop computers already have multi-core processors, and chips with more than a hundred cores are commercially available. As a communication medium for such a large number of cores, network-on-chip (NoC) has emerged out, and now is being used by many researchers and companies. Adopting NoC for a many-core system incurs many problems, and this thesis tries to solve some of them. The second chapter of this thesis is on mapping and scheduling of tasks on NoC-based CMP architectures. Although mapping on NoC has a number of papers published, our work reveals that selecting communication types between shared memory and message passing can help improve the performance and energy efficiency. Additionally, our framework supports scheduling applications containing backward dependencies with the help of modified modulo scheduling. Evolving the SoCs through 3D stacking makes us face a number of new problems, and the thermal problem coming from increased power density is one of them. In the third chapter of this thesis, we try to mitigate the hotspot problem using DVFS techniques. Assuming that all the routers as well as cores have capabilities to control voltage and frequency individually, we find voltage-frequency pairs for all cores and routers which yields the best performance within the given thermal constraint. The fourth and the fifth chapters of this thesis are from a different aspect. In 3D stacking, inter-layer interconnections are implemented using through-silicon vias (TSV). TSVs usually take much more area than normal wires. Furthermore, they also consume silicon area as well as metal area. For this reason, designers would want to limit the number of TSVs used in their network. To limit the TSV count, there are two options: the first is to reduce the width of each vertical links, and the other is to use fewer vertical links, which results in a partially connected network. We present two routing methodologies for each case. For the network with reduced bandwidth vertical links, we propose using deflection routing to mitigate the long latency of vertical links. By balancing the vertical traffics properly, the algorithm provides improved latency. Also, a large amount of area and energy reduction can be obtained by the removal of router buffers. For partially connected networks, we introduce a set of routing rules for selecting the vertical links. At the expense of sacrificing some amount of routing freedom, the proposed algorithm removes the virtual channel requirement for avoiding deadlock. As a result, the performance, or energy consumption can be reduced at the designer's choice.Chapter 1 Introduction 1 1.1 Task Mapping and Scheduling 2 1.2 Thermal Management 3 1.3 Routing for 3D Networks 5 Chapter 2 Mapping and Scheduling 9 2.1 Introduction 9 2.2 Motivation 10 2.3 Background 12 2.4 Related Work 16 2.5 Platform Description 17 2.5.1 Architcture Description 17 2.5.2 Energy Model 21 2.5.3 Communication Delay Model 22 2.6 Problem Formulation 23 2.7 Proposed Solution 25 2.7.1 Task and Communication Mapping 27 2.7.2 Communication Type Optimization 31 2.7.3 Design Space Pruning via Pre-evaluation 34 2.7.4 Scheduling 35 2.8 Experimental Results 42 2.8.1 Experiments with Coarse-grained Iterative Modulo Scheduling 42 2.8.2 Comparison with Different Mapping Algorithms 43 2.8.3 Experiments with Overall Algorithms 45 2.8.4 Experiments with Various Local Memory Sizes 47 2.8.5 Experiments with Various Placements of Shared Memory 48 Chapter 3 Thermal Management 50 3.1 Introduction 50 3.2 Background 51 3.2.1 Thermal Modeling 51 3.2.2 Heterogeneity in Thermal Propagation 52 3.3 Motivation and Problem Definition 53 3.4 Related Work 56 3.5 Orchestrated Voltage-Frequency Assignment 56 3.5.1 Individual PI Control Method 56 3.5.2 PI Controlled Weighted-Power Budgeting 57 3.5.3 Performance/Power Estimation 59 3.5.4 Frequency Assignment 62 3.5.5 Algorithm Overview 64 3.5.6 Stability Conditions for PI Controller 65 3.6 Experimental Result 66 3.6.1 Experimental Setup 66 3.6.2 Overall Algorithm Performance 68 3.6.3 Accuracy of the Estimation Model 70 3.6.4 Performance of the Frequency Assignment Algorithm 70 Chapter 4 Routing for Limited Bandwidth 3D NoC 72 4.1 Introduction 72 4.2 Motivation 73 4.3 Background 74 4.4 Related Work 75 4.5 3D Deflection Routing 76 4.5.1 Serialized TSV Model 76 4.5.2 TSV Link Injection/ejection Scheme 78 4.5.3 Deadlock Avoidance 80 4.5.4 Livelock Avoidance 84 4.5.5 Router Architecture: Putting It All Together 86 4.5.6 System Level Consideration 87 4.6 Experimental Results 89 4.6.1 Experimental Setup 89 4.6.2 Results on Synthetic Traffic Patterns 91 4.6.3 Results on Realistic Traffic Patterns 94 4.6.4 Results on Real Application Benchmarks 98 4.6.5 Fairness Issue 103 4.6.6 Area Cost Comparison 104 Chapter 5 Routing for Partially Connected 3D NoC 106 5.1 Introduction 106 5.2 Background 107 5.3 Related Work 109 5.4 Proposed Algorithm 111 5.4.1 Preliminary 112 5.4.2 Routing Algorithm for 3-D Stacked Meshes with Regular Partial Vertical Connections 115 5.4.3 Routing Algorithm for 3-D Stacked Meshes with Irregular Partial Vertical Connections 118 5.4.4 Extension to Heterogeneous Mesh Layers 122 5.5 Experimental Results 126 5.5.1 Experimental Setup 126 5.5.2 Experiments on Synthetic Traffics 128 5.5.3 Experiments on Application Benchmarks 133 5.5.4 Comparison with Reduced Bandwidth Mesh 139 Chapter 6 Conclusion 141 Bibliography 144 ์ดˆ๋ก 163Docto

    Monitoring, Visualization and Assessment of Air Pollutant Emissions on Construction Sites

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    The construction industry is always ranked as one of the largest emission contributors of air pollutants including nitrogen oxides (NOx), carbon oxides (CO), volatile organic compounds (VOCs), and sulfur oxides (SOx), which accounts for approximate 23% of the global air pollutions each year. These pollutants are detrimental to the ambient air quality and the health and safety of construction practitioners. The high pollutant emission level has attracted the governmentโ€™s interests to release regulations and initiatives to reduce the air pollutant emissions of construction projects. Also, construction practitioners and researchers are encouraged to mitigate the environmental impacts during the construction process. So far, most of the mitigation efforts have been placed on pre-assessing the environmental impacts of construction activities in the planning stage using emission estimation models. The emission estimation models were developed based on the emission rate analysis of the uninstalled engines in the laboratory environment. Therefore, the estimation models are not able to reflect the real-world emission rates, especially the emission rates of different working modes. In addition, the Portable Emissions Measurement System (PEMS) is employed to monitor the air pollutant emissions of the operating equipment in the construction stage. However, the costly expenses and the particular precautions when using the PEMS to monitor the air pollutant emissions significantly impede the utilization of PEMS. Also, it is impossible to install PEMS to each piece of construction equipment for the air pollutant emission monitoring of the whole construction projects. The main objective of this research is to develop a set of tools to monitor and visualize the air pollutant emission on construction sites in the real-time and automatic manner. Towards this objective, an Internet of Things (IoT)-based system is created with the integration of microcontrollers, microsensors, and high-definition (HD) cameras. Specifically, the system can be employed to: 1) monitor the onsite air pollutant emissions during construction operations in an automatic and real-time manner; 2) dynamically and continuously visualize the air pollutant emission; 3) automatically trigger alarms when the air pollutant emissions violate the standards; and 4) quantitatively assess the potential impacts on ambient air quality and the health of workforces. The system has been tested on real construction sites. The results indicated that the system could assist construction practitioners in the monitoring and visualization of the air pollutants produced from construction operations. Also, the results are able to facilitate decision-making on reducing the air pollutant emissions and promote the sustainability of construction operations
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