2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)最新文献_第4页

Using Human Social Sensors for Robust Event Location Detection 基于人类社会传感器的鲁棒事件定位检测

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI: 10.1109/DCOSS.2016.29

Ioannis Boutsis, V. Kalogeraki

引用次数: 3

WiFi-ID: Human Identification Using WiFi Signal WiFi- id:通过WiFi信号进行人类识别

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI: 10.1109/DCOSS.2016.30

Jin Zhang, Bo Wei, Wen Hu, S. Kanhere

引用次数: 191

SenseWit: Pervasive Floorplan Generation Based on Only Inertial Sensing SenseWit:仅基于惯性传感的普适平面图生成

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI: 10.1109/DCOSS.2016.25

Jiaqi Liang, Yuan He, Yunhao Liu

{"title":"SenseWit: Pervasive Floorplan Generation Based on Only Inertial Sensing","authors":"Jiaqi Liang, Yuan He, Yunhao Liu","doi":"10.1109/DCOSS.2016.25","DOIUrl":"https://doi.org/10.1109/DCOSS.2016.25","url":null,"abstract":"Mobile crowdsourcing is deemed as a powerful technique to solve traditional problems. But the crowdsourced data from smartphones are generally with low quality, which induce crucial challenges and hurt the applicability of crowdsourcing applications. This paper presents our study to address such challenges in a concrete application, namely floorplan generation. In order to utilize pedestrians' traces for indoor location inference, existing proposals mostly rely on infrastructural references or accurate data sources, which are by nature restricted in terms of applicability and pervasiveness. Our proposal called SenseWit is motivated by the observation that people's behavior offers meaningful clues for location inference. The noise, ambiguity, and behavior diversity contained in the crowdsourced data, however, mean non-trivial challenges in generating high-quality floorplans. We propose 1) a novel concept called Nail to identify featured locations in indoor space and 2) a heuristic pathlet bundling algorithm to progressively discover the internal layouts. We implement SenseWit and conduct real-world experiments in different spaces. Our work offers an efficient technique to obtain high-quality structures (either logical or physical) from low-quality data. We believe it can be generalized to other crowdsourcing applications.","PeriodicalId":217448,"journal":{"name":"2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130772461","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

Towards Detecting WiFi Aggregated Interference for Wireless Sensors Based on Traffic Modelling 基于流量建模的无线传感器WiFi聚合干扰检测研究

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI: 10.1109/DCOSS.2016.31

I. Dhanapala, Ramona Marfievici, P. Agrawal, D. Pesch

引用次数: 0

Learning-Based and Data-Driven TCP Design for Memory-Constrained IoT 基于学习和数据驱动的内存受限物联网TCP设计

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI: 10.1109/DCOSS.2016.8

Wei Li, Fan Zhou, W. Meleis, K. Chowdhury

{"title":"Learning-Based and Data-Driven TCP Design for Memory-Constrained IoT","authors":"Wei Li, Fan Zhou, W. Meleis, K. Chowdhury","doi":"10.1109/DCOSS.2016.8","DOIUrl":"https://doi.org/10.1109/DCOSS.2016.8","url":null,"abstract":"Advances in wireless technology have resulted in pervasive deployment of devices of a high variability in form factors, memory and computational ability. The need for maintaining continuous connections that deliver data with high reliability necessitate re-thinking of conventional design of the transport layer protocol. This paper investigates the use of Q-learning in TCP cwnd adaptation during the congestion avoidance state, wherein the classical alternation of the window is replaced, thereby allowing the protocol to immediately respond to previously seen network conditions. Furthermore, it demonstrates how memory plays a critical role in building the exploration space, and proposes ways to reduce this overhead through function approximation. The superior performance of the learning-based approach over TCP New Reno is demonstrated through a comprehensive simulation study, revealing 33.8% and 12.1% improvement in throughput and delay, respectively, for the evaluated topologies. We also show how function approximation can be used to dramatically reduce the memory requirements of a learning-based protocol while maintaining the same throughput and delay.","PeriodicalId":217448,"journal":{"name":"2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127321136","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: 30

Modeling Optimal Dynamic Scheduling for Energy-Aware Workload Distribution in Wireless Sensor Networks 无线传感器网络中能量感知工作负载分配的最优动态调度建模

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-01 DOI: 10.1109/DCOSS.2016.39

Wanli Yu, Yanqiu Huang, A. Ortiz

引用次数: 7

Maintaining Constructive Interference Using Well-Synchronized Sensor Nodes 利用良好同步的传感器节点维持建设性干扰

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-01 DOI: 10.1109/DCOSS.2016.32

Michael König, Roger Wattenhofer

{"title":"Maintaining Constructive Interference Using Well-Synchronized Sensor Nodes","authors":"Michael König, Roger Wattenhofer","doi":"10.1109/DCOSS.2016.32","DOIUrl":"https://doi.org/10.1109/DCOSS.2016.32","url":null,"abstract":"Traditionally, achieving constructive interference (CI) required specialized timekeeping hardware. Recently, the ability and interest to employ CI distributedly at any time using groups of ordinary single antenna wireless sensor nodes have grown. In this paper, we investigate achieving CI on sensor nodes. We consider the commonly employed IEEE 802.15.4 wireless standard, which uses a chip frequency of 1 MHz. This means signals need to be synchronized with an error below 0.5 microseconds to allow for CI. Hence, excellent clock synchronization between nodes as well as precise transmission timing are required. We implemented and tested a prototype addressing the implementation challenges of synchronizing the nodes' clocks up to a precision of a few hundred nanoseconds and of timing transmissions as accurately as possible. Our results show that, even after multiple minutes of sleep, our approach is able to achieve CI in over 30% of cases, in scenarios in which any influence from the capture effect can be ruled out. This leads to an increase in a packet's chance of arrival to 30-65%, compared to 0-30% when transmitting with either less synchrony or different data payload. Further, we find that 2 senders generally increase the signal power by 2-3 dB and can double the packet reception ratio of weak links.","PeriodicalId":217448,"journal":{"name":"2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115017597","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: 13

Bounding Distributed Energy Balancing Schemes for WSNs via Modular Subgames 基于模块化子博弈的wsn边界分布式能量平衡方案

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-01 DOI: 10.1109/DCOSS.2016.13

Julia Buwaya, J. Rolim

{"title":"Bounding Distributed Energy Balancing Schemes for WSNs via Modular Subgames","authors":"Julia Buwaya, J. Rolim","doi":"10.1109/DCOSS.2016.13","DOIUrl":"https://doi.org/10.1109/DCOSS.2016.13","url":null,"abstract":"This paper studies means of archiving energy balance in Wireless Sensor Networks (WSNs) as criterion to increase network lifetime. While protocols for balancing energy through centralized computation have been established, effective solutions for more realistic distributed settings are still an open research field. In this work, we present a novel approach for balancing energy in WSNs in a distributed manner by solving a sequence of modular strategic subgames. In addition, we prove theoretical bounds for its solution quality. To the best of our knowledge, we are the first to explicitly provide theoretical bounds for distributed WSN energy balancing schemes. We do so by formulating two specific routing games in which sensor nodes act as strategic agents with interests in energy balance. The first formulated game is a monotone utility game and by exploiting and adapting some existing results, we can prove a meaningful relative bound for its solution value via our distributed modular subgames scheme under realistic conditions. For the second game we provide an absolute bound. We round up our theoretical results by an experimental evaluation, where our modular subgames scheme shows increased performance compared to state-of-the-art algorithms.","PeriodicalId":217448,"journal":{"name":"2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123455872","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