2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)最新文献

HiHeading: Smartphone-Based Indoor Map Construction System with High Accuracy Heading Inference HiHeading:基于智能手机的高精度航向推断室内地图构建系统

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.35

W. Ma, Jing Wu, C. Long, Yanmin Zhu

引用次数: 6

Wearable ECG for Tension Assessment in Movie Watching and Adventure Riding 可穿戴心电图用于电影观看和冒险骑行时的紧张评估

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.45

Hsin-Hsi Tsai, Chih-Wei Yi

{"title":"Wearable ECG for Tension Assessment in Movie Watching and Adventure Riding","authors":"Hsin-Hsi Tsai, Chih-Wei Yi","doi":"10.1109/MSN.2015.45","DOIUrl":"https://doi.org/10.1109/MSN.2015.45","url":null,"abstract":"The traditional electrocardiograph (ECG) is used to record heart activity under the supervision of doctors or well-trained medical personnel in the hospital or clinic. However, due to the advances in the MEMS technology in recent years, wearable ECG sensors are developed to collect ECG signals in daily life. The ECG signals can reveal the activity of the autonomic nervous system (ANS). The fluctuations in emotion may cause the enhancement of ANS, and further cause the rising of the heart rate. Hence, by investigating the heart rate data, we may understand how human emotion is affected by the outside environments or events. In this work, we measure the heart rate in two activities, including movie watching and adventure riding, which may cause people excited and nervous. The correlation between the heart rate and the activities are investigated. We propose to assess the exciting level of the activities via the heart rate data. We develop an algorithm to mark the exciting segments, and design questionnaires to understand how people feel in the activities. The experiment results show that the heart rate and the exciting level are positively correlated, and the exciting segments marked by the proposed algorithm are coincident with the answers from the questionnaires.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122734073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Context-Adaptive Security Framework for Mobile Cloud Computing 移动云计算环境自适应安全框架

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.28

Saurabh Dey, S. Sampalli, Qiang Ye

引用次数: 12

DiSen: Ranging Indoor Casual Walks with Smartphones DiSen:用智能手机进行室内休闲散步

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.15

Sen Yang, Hongzi Zhu, Guangtao Xue, Minglu Li

{"title":"DiSen: Ranging Indoor Casual Walks with Smartphones","authors":"Sen Yang, Hongzi Zhu, Guangtao Xue, Minglu Li","doi":"10.1109/MSN.2015.15","DOIUrl":"https://doi.org/10.1109/MSN.2015.15","url":null,"abstract":"Acquiring instant walking distance is desirable in indoor localization and map construction. However, due to the blackout of Global Positioning System (GPS) in indoor settings, to accurately estimate the indoor walking distance with minimum hardware requirement is very challenging. In this paper, we propose a lightweight scheme, called DiSen, to range the instant walking distance of smartphone users. After analysing the extensive walking trace data, we find that people have rather consistent walking behaviour even though they may change their walking speeds in different situations. Furthermore, the relationship between stride length and step frequency while walking can be well estimated using non-linear sigmoid model. Inspired by such insights, we first design a stride segmenting method to obtain reliable and accurate step frequency information from raw accelerometer readings. We then train a sigmoid model using acceleration and GPS information collected when a user walks in outdoor conditions and finally apply the model to indoor walking distance ranging. Real-world experiment results show that, in different walking speeds, DiSen can reach average distance estimation accuracy of 96%.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125958434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Relay-Assisted Device-to-Device Communications for Video Transmission in Cellular Networks 蜂窝网络中用于视频传输的中继辅助设备对设备通信

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.19

Hao Xu, Yijin Pan, Nuo Huang, Zhaohui Yang, Ming Chen

引用次数: 4

Power-Efficient Resource Utilization in Cellular Multimedia Multicast 蜂窝多媒体组播中的高效资源利用

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.27

Ouldooz Baghban Karimi, Jiangchuan Liu, Zhi Wang

{"title":"Power-Efficient Resource Utilization in Cellular Multimedia Multicast","authors":"Ouldooz Baghban Karimi, Jiangchuan Liu, Zhi Wang","doi":"10.1109/MSN.2015.27","DOIUrl":"https://doi.org/10.1109/MSN.2015.27","url":null,"abstract":"With advancements in wireless communication technologies, broadband wireless services will be prevalent in the near future. Meanwhile, the capability of mobile devices is drastically increasing the mobile data usage, which is far in excess of mobile network capacities. Therefore, despite the high availability of these networks, the large scale of users they support, and their improved spectral efficiencies, effective utilization of wireless resources is still required to keep up with the ever increasing user demands for mobile services. This paper targets high-throughput data transmission in advanced cellular wireless networks that have been widely used for broadband access and are constantly enhanced for future applications. We present a power-efficient resource allocation solution to meet the transmission requirements for bandwidth-intensive applications -- video streaming. In particular, our design strategically groups mobile users into multicast groups with different video quality requirement, and utilizes cellular resource to meet their video requirements. We compare our proposed methods with state-of-the-art solutions and prove their effectiveness: our design achieves 5% to 18% improvement in base station power consumption, and 13% to 25% improvement in user device power conservation.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"18 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124281912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Distributed Algorithms for Maximum Clique in Wireless Networks 无线网络中最大团的分布式算法

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.37

Chuanwen Luo, Jiguo Yu, Dongxiao Yu, Xiuzhen Cheng

{"title":"Distributed Algorithms for Maximum Clique in Wireless Networks","authors":"Chuanwen Luo, Jiguo Yu, Dongxiao Yu, Xiuzhen Cheng","doi":"10.1109/MSN.2015.37","DOIUrl":"https://doi.org/10.1109/MSN.2015.37","url":null,"abstract":"In communication networks such as social networks, wireless networks and biology networks, it is of importance to find all cliques which can help understand the network topology. The clique structures can also be utilized in facilitating message forwarding in wireless networks. For instance, using a set of cliques of maximal and disjoint, one of the nodes in each clique can be elected to forward messages, by which the duplicate message transmissions can be efficiently reduced. Further, it is well known that the maximum clique problem (MCP) is closely related to the maximum independent set and the vertex cover problems. In recent years, the fundamental problem of finding maximal cliques or maximum cliques has attracted lots of attentions. However, few of these works focus on distributed solutions in wireless networks. In this paper, we pay our attention to this missing corner of research. Specifically, we first give a distributed algorithm which can compute all maximal cliques in a wireless network represented by a graph. The algorithm takes O(n) time and uses O(mn) messages, where n is the number of nodes and m the number of edges. Then, with the proposed algorithms MCP (maximum clique problem) and UMCP (unique MCP), we show that a unique maximum clique can be selected from all maximal cliques in O(n) rounds and using O(mn) messages. To the best of our knowledge, our algorithms are the first deterministic distributed solutions for MCP in wireless networks.","PeriodicalId":363465,"journal":{"name":"2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116997732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Scalable Rumor Source Detection under Independent Cascade Model in Online Social Networks 基于独立级联模型的在线社交网络可扩展谣言源检测

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.36

Wen Xu, He Chen

引用次数: 22

Cuckoo-Filter Based Privacy-Aware Search over Encrypted Cloud Data 基于杜鹃过滤器的加密云数据隐私感知搜索

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.41

Qinghan Xue, M. Chuah

引用次数: 6

RSSI-Based Bluetooth Indoor Localization 基于rssi的蓝牙室内定位

2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN) Pub Date : 2015-12-16 DOI: 10.1109/MSN.2015.14

Yixin Wang, Qiang Ye, Jie Cheng, Lei Wang

引用次数: 79