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研究生: 黃慈郁
Huang, Tzu-Yu
論文名稱: 移動臨機感測之可行性研究:以PM2.5感測為例
An Analysis Based Approach to Assess the Feasibility of Mobile Opportunistic Sensing:using PM2.5 sensing as an example
指導教授: 陳伶志
Chen, Ling-Jyh
學位類別: 碩士
Master
系所名稱: 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2016
畢業學年度: 105
語文別: 中文
論文頁數: 35
中文關鍵詞: 臨機感測細懸浮微粒移動感測
英文關鍵詞: Opportunistic Sensing, Mobile Sensing, Mobile Opportunistic Sensing
DOI URL: https://doi.org/10.6345/NTNU202204631
論文種類: 學術論文
相關次數: 點閱:61下載:8
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  • 近幾年微型感測器的崛起,越來越多種微型感測器可以用來測量環境中的狀況,例如:定位感測、空氣感測、水質檢測等等應用,由於我們感測的時間或量測區域通常都是大範圍的,所收集到的數據量會非常龐大,因此我們利用臨機感測應用在必要時進行量測,並且在城市移動力 (Urban Mobility) 結合移動感測增加數據採樣的範圍。
    本論文結合臨機感測與移動感測為主要研究目的,利用可攜式微型感測器進行移動感測,稱之為移動臨機感測 (Mobile Opportunistic Sensing)。臨機移動感測為移動感測系統僅於適當的時機在需要時才進行感測,如此便可節省系統耗電量;藉由移動感測則不需部署大量的感測點,即可以降低系統成本;同時僅於適當的時機在需要時才進行感測,除了減少數據採集的數量外同時也提高了數據的可用度。利用感測空氣污染源PM2.5為實例,並將感測裝置裝設於腳踏車上,僅於靜止時進行量測,希望能夠整合出一可行性高的移動臨機感測系統。移動時PM2.5感測器於待機狀態,不感測且不採集任何感測器數值,並於停止移動後才開啟感測器進行量測,如此一來所採集到的數據皆為有效的且解決數據數量龐大的問題。

    第1章、諸論……………………………………………………………………1 第2章、相關研究與討論………………………………………………………5 第3章、系統架構及方法………………………………………………………8 3.1開發環境與開發板介紹………………………………………………8 3.2系統架構………………………………………………………………9 第4章、移動判斷……………………………………………………………..11 4.1移動判斷實驗設備介紹………………………………………………..11 4.2 移動判斷實驗設置…………………………………………………….12 4.3 移動判斷實驗結果…………………………………………………….13 第5章、系統可行性評估……………………………………………………..16 5.1 可行性評估實驗設備介紹……………………………………………….16 5.2 可行性評估實驗設置…………………………………………………….17 5.3可行性評估實驗設置……………………………………………………..18 5.3.1 感測時機分析…………………………………………………….18 5.3.2 感測時機定義與推導…………………………………………….19 5.3.3 可行性分析……………………………………………………….20 5.3.4可行性評估建立模………………………………………………..21 第6章、系統應用場域實驗………………………………………………….22 6.1 場域實驗實驗設備介紹………………………………………………….22 6.2 場域實驗實驗設置……………………………………………………… 23 6.3 場域實驗實驗結果……………………………………………………….25 第7章、結論與未來工作…………………………………………………….29 第8章、參考文獻…………………………………………………………….32

    [1] Qilian Liang, Xiuzhen Cheng, Scott CH Huang, Dechang Chen,“Opportunistic Sensing in Wireless Sensor Networks:Theory and Application”, IEEE Transactions on Computers,Volume: 63, Issue: 8, Aug. 2014, pp.2002-2010

    [2] 吳亘卓 (2015)。支援城市移動的微型細懸浮微粒感測研究
    [3] Viet-Duc Le,“Distributed Opportunistic Sensing in Mobile Phone Sensor Networks”, Pervasive Computing and Communications Workshops (PERCOM Workshops), 2013 IEEE International Conference on, 2013

    [4] Elif Eryilmaz, Frank Trollmann, and Sahin Albayrak, “Conceptual Application of the MAPE-K Feedback Loop to Opportunistic Sensing”, Sensor Data Fusion: Trends, Solutions, Applications (SDF) , 2015

    [5] Seungwoo Kang, Sungjun Kwon, Chungkuk Yoo, Sangwon Seo,Kwangsuk Park, Junehwa Song, Youngki Lee , “Sinabro- opportunistic and unobtrusive mobile electrocardiogram monitoring system” , HotMobile '14 , February 2014, No.11

    [6] Luis A. Castro ,Jessica Beltrán ,Moisés Perez,Eduardo ,Jesús Favela ,Edgar Chávez ,Marcela Rodriguez René Navarro, “Collaborative Opportunistic Sensing with Mobile Phones”, UbiComp '14 Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication , 2014 , pp. 1265-1272

    [7] Takamasa Higuchi, Hirozumi Yamaguchi, Teruo Higashino, Mineo Takai , “A Neighbor Collaboration Mechanism for Mobile Crowd Sensing in Opportunistic Networks”, IEEE ICC 2014 - Ad-hoc and Sensor Networking Symposium, June 2014, pp.42-47

    [8] Valerio Arnaboldi, Marco Conti, Franca Delmastro, Giovanni Minutiello , Laura Ricci , “Sensor Mobile Enablement (SME): a Light-Weight Standard for Opportunistic Sensing Services”, International Workshop on the Impact of Human Mobility in Pervasive Systems and Applications 2013, San Diego, 18 March 2013

    [9] Phuong Nguyen , Klara Nahrstedt ”Context-aware Crowd-sensing in Opportunistic Mobile Social Networks”, Mobile Ad Hoc and Sensor Systems (MASS), 2015 IEEE 12th International Conference on , 2015

    [10] Prem Prakash Jayaraman, Charith Perera, Dimitrios Georgakopoulos , Arkady Zaslavsky, “Efficient Opportunistic Sensing using Mobile Collaborative Platform MOSDEN”, 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing (COLLABORATECOM), Austin, Texas, United States, October, 2013

    [11] Samuli Hemminki, Kai Zhao, Aaron Yi Ding, Martti Rannanjärvi, Sasu Tarkoma, and Petteri Nurmi ,“CoSense : A Collaborative Sensing Platform for Mobile Devices”, Proceeding SenSys '13 Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems Article No. 34

    [12] Guliz S. Tuncay, Giacomo Benincasa, Ahmed Helmy , “Participant Recruitment and Data Collection Framework for Opportunistic Sensing: A Comparative Analysis”, CHANTS '13 Proceedings of the 8th ACM MobiCom workshop on Challenged networks ,2013,pp.25-30

    [13] Hans Scholten and Pascal Bakker ,“Opportunistic Sensing in Wireless Sensor Networks”, ICN 2011 : The Tenth International Conference on Networks , 2011

    [14] Marc Kurz,“Goal driven opportunistic sensing”, UbiComp '10 Adjunct Proceedings of the 12th ACM international conference adjunct papers on Ubiquitous computing, 2010 ,pp469-472

    [15] Cory Cornelius, Apu Kapadia, David Kotz, Dan Peebles, Minho Shin, Nikos Triandopoulos , “AnonySense: Privacy-Aware People-Centric Sensing”, MobiSys '08 Proceedings of the 6th international conference on Mobile systems, applications, and services , 2008, pp.211-224

    [16] Guliz Seray ,Giacomo Benincasa ,Ahmed Helmy, “Autonomous and distributed recruitment and data collection framework for opportunistic sensing” , Mobicom '12 Proceedings of the 18th annual international conference on Mobile computing and networking , 2012 , pp. 407-410

    [17] Dong Zhao, Huadong Ma, Xiang-Yang Li, “COUPON: A Cooperative Framework for Building Sensing Maps in Mobile Opportunistic Networks” , IEEE Transactions on Parallel and Distributed Systems , Volume: 26, Issue: 2, Feb. 2015

    [18] Radhika Loomba, Lei Shi and Brendan Jennings,“State-machine driven Opportunistic Sensing by Mobile Devices”, Globecom 2014 - Symposium on Selected Areas in Communications: GC14 SAC Human Centric Computing

    [19] Stephan Sigg , Xiaoming Fu ,“Social Opportunistic Sensing and Social Centric Networking”, WiMobCity '14 Proceedings of the 2014 ACM international workshop on Wireless and mobile technologies for smart cities , pp. 83-90

    [20] Yu-Te Huang, Yi-Chao Chen, Jyh-How Huang, Ling-Jyh Chen, and Polly Huang , “YushanNet A Delay Tolerant Wireless Sensor Network for Hiker Tracking in Yushan National Park”

    [21] Rafael Oliveira Vasconcelos, Luis Talavera, Igor Vasconcelos, Marcos Roriz, Markus Endler , “An Adaptive Middleware for Opportunistic Mobile Sensing”, 2015 International Conference on Distributed Computing in Sensor Systems, June 2015

    [22] Zhaowen Wangy, Jianchao Yangyz, Nasser Nasrabadix and Thomas Huangy,“Opportunistic sensing for object recognition - A unified formulation for dynamic sensor selection and feature extraction”, Multimedia and Expo (ICME), 2013 IEEE International Conference on , 2013

    [23] MD Abdullah Al ,Hafiz Khan H M. Sajjad ,Hossain Nirmalya Roy , “Sense Presence Infrastructure-Less Occupancy Detection for Opportunistic Sensing Applications”, MDM '15 Proceedings of the 2015 16th IEEE International Conference on Mobile Data Management , Volume 02, pp. 56-61

    [24] Dong Zhao, Huadong Ma, Liang Liu, and Jing Zhao ,“On Opportunistic Coverage for Urban Sensing”, Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on

    [25] G. Varela , A. Paz-Lopez, R. J. Duro , F. Lopez-Pe˜na, F.J.Gonz´alez-Casta˜no ,“An Integrated System for Urban Pollution Monitoring through a Public Transportation based Opportunistic Mobile Sensor Network”, Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on, December 2009, pp.148-153

    [26] Marco Fiore, Alessandro Nordio, Carla-Fabiana Chiasserini, “Driving Factors Toward Accurate Mobile Opportunistic Sensing in Urban Environments”, IEEE Transactions on Mobile Computing,Volume: 15, Issue: 10, Oct. 1 2016

    [27] Wilhelm Kleiminger ,Christian Beckel ,Silvia Santini ,“Household occupancy monitoring using electricity meters”, UbiComp '15 Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing , 2015 , pp. 975-986

    [28] Erik Axell, Geert Leus, Erik G. Larsson, H. Vincent Poor , “Spectrum Sensing for Cognitive Radio : State-of-the-Art and Recent Advances”, IEEE Signal Processing Magazine,Volume: 29, Issue: 3, May 2012 ,pp. 101-116

    [29] Nicholas D. Lane, Shane B. Eisenman, Mirco Musolesi,Emiliano Miluzzo, Andrew T. Campbell ,“Urban Sensing Systems : Opportunistic or Participatory”, HotMobile '08 Proceedings of the 9th workshop on Mobile computing systems and applications, pp. 11-16

    [30] Aline Carneiro Viana , France Marcelo Dias de Amorim , “Sensing and Acting with Predefined Trajectories”, HeterSanet '08 Proceedings of the 1st ACM international workshop on Heterogeneous sensor and actor networks , pp. 1-8

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