2013 Fiscal Year Research-status Report
ネットワークとユーザの状況に対応する自律的なIoT・M2Mプラットフォーム構築
| Project/Area Number |
25730061
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Research Institution | The University of Aizu |
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Principal Investigator |
王 軍波 会津大学, 公私立大学の部局等, 准教授 (40646882)
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Keywords | M2M / Internet of Things / Network Optimization / Disaster / Elderly Care |
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| Research Abstract |
In most of current researches on Internet of Things/M2M, information/message is always transmitted between local sensing part and remote Cloud part without well analysis of user, network and Cloud situations. Due to that, there will be amount of garbage data transmitted through situation-unknown network and bring a lot of possible problems, e.g., important messages may be lost in the transmission and so on. To solve the above problems, we have proposed a three Tiers autonomous IoT/M2M architecture, by analyzing user, network and Cloud situations, and then optimize the whole network. More specifically, three Ties autonomous IoT/M2M architecture includes (1) a new mechanism to automatically detect and manage user, network situation, and then autonomously optimize networks based on situations; (2) a local Cloud by automatically collecting surrounding mobile computing resources to realize quick response for users’ requirements; (3) service providing mechanism in Cloud side, to provide suitable services based on various situations of users. We have a lot of challenges and in the first year we have tried to finish some of them as follows.
Result 1: A situation-oriented IoT middleware for managing situations and solving conflict contexts.
Result 2: An optimization method for task allocation in a three Ties an autonomous IoT/M2M architecture,
Result 3: An IoT resources optimization method by considering user situations and network situations, in disaster environment.
Result 4: Basic construction of a tested to detect situations of elderly people and service support.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
To realize our goals described above, we have designed the following five sub problems, and the corresponding status is shown as follows.
(1) Design of a Situation-Awareness autonomous management mechanism. We have finished the basic design, i.e., a situation-oriented IoT middleware for managing situations and solving conflict contexts as shown in result 1. (2) The method to analyze and predict the network to ensure a reliable communication. We have done a basic survey, and confirmed several research problems. The detail design for the method will be started soon. (3) Optimization task allocation method among mobile devices and Cloud site. We have designed the task allocation method among mobile devices and Cloud site as shown in Result 2. (4) The method to reasoning a situation/context more precisely and accurately, and then provide service based on situations in Cloud. We have designed and realized the method to reasoning a dangerous situation/context for children and abnormal situations for elderly people based on various sensing data as shown in Result 4. (5) A test-bed supporting for elderly people and disaster. we have designed and implemented a u-tile sensing system to detect detail situation of an elderly people, including location information, relation information with surrounding objects, and gestures.
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| Strategy for Future Research Activity |
The planning for the future work will be (1) Summarize the research results in the first year and submit them into international conference and Journals. (2) Analyzing and evaluating the research results in the first year for each sub-problem listed above, and enhances them in the second year. More specifically, we will focus on the following research problems based on the current evaluation:
1. Besides creation of situation management mechanism in the user site, we will further proposal the corresponding mechanism in the network and Cloud set to analyze network and Cloud situation, e.g., interference and congestion situations in network. Based on user, network and Cloud situations, we will propose resources optimization and network situation prediction method/mechanism for IoT system. 2. Currently, we have realized some reasoning method in local site. In the second year, we will consider more global situation and bring reasoning mechanism from local site to Cloud site. 3. Improving deployment methods for mobile mesh router considering more situations in a disaster context, e.g., congestion and interference. 4. Evaluate the proposals in the second year and summarize them as papers.
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