2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)最新文献

Optimal Citizen-Centric Sensor Placement for Citywide Environmental Monitoring - A Submodular Approach 面向城市环境监测的以市民为中心的最佳传感器布局——一种子模块方法

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396355

Chenxi Sun, V. Li, J. Lam

{"title":"Optimal Citizen-Centric Sensor Placement for Citywide Environmental Monitoring - A Submodular Approach","authors":"Chenxi Sun, V. Li, J. Lam","doi":"10.1109/SECONW.2018.8396355","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396355","url":null,"abstract":"The general environmental monitoring problem refers to the task of placing sensors or stations to optimize certain objectives under budget constraints. Application scenarios include monitoring temperature, water contamination, air quality etc. As citizens are increasingly concerned about the surrounding environment, it is important to provide sufficient and accurate information to the public. In this study, we focus on the problem of optimal citizen-centric sensor placement, i.e, given a set of locations within the city, we aim at placing sensors or stations at locations that will benefit as many citizens as possible under budget constraints. We prove that the problem is NP-hard, yet the objective function has the nice non-decreasing and submodular property. Then the efficient greedy algorithm and its variants can be adopted with a guaranteed approximation ratio of (1−1/e) for the unit cost case and 1/2 (1−1/e) for the general cost case. Finally we demonstrate the effectiveness of the proposed approach by comparing with two baseline algorithms through a case study.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"463 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310892","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

Impacts of SW-ARQ on the Latency and Reliability of Diffusive, In-Sequence Molecular Communication SW-ARQ对扩散序列分子通信延迟和可靠性的影响

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396350

Kento Furuhashi, J. Suzuki, Jonathan S. Mitzman, T. Nakano, Yutaka Okaie, Hiroaki Fukuda

引用次数: 0

CoWPER Welcome Message 库柏欢迎辞

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396327

引用次数: 0

Unmanned Aerial Vehicle Detection Based on Channel State Information 基于信道状态信息的无人机检测

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396360

Wei Zhou, Lei Wang, Bingxian Lu, Naigao Jin, Linlin Guo, Jialin Liu, Honglei Sun, Hui Liu

{"title":"Unmanned Aerial Vehicle Detection Based on Channel State Information","authors":"Wei Zhou, Lei Wang, Bingxian Lu, Naigao Jin, Linlin Guo, Jialin Liu, Honglei Sun, Hui Liu","doi":"10.1109/SECONW.2018.8396360","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396360","url":null,"abstract":"Civilian unmanned aerial vehicles (UAVs) have been increasingly used in problematic ways. For instance, more and more UAVs disrupt flights and peep into privacy. This problem is likely to expand given the rapid proliferation of UAVs for commerce, monitoring, recreation, and other applications. In this paper, we propose a UAV presence detection system which identifies signal signatures by using the UAV's RF communication. We explore UAV's physical characteristics, including the mobility due to fast moving, spatiality due to UAV's 3D nature, and vibration due to its wing rotation. We consider whether the received UAV signals are uniquely differentiated from other wireless devices. We thoroughly analyze the angle of arrival (AoA) in 3D space, and flexibly apply super-resolution AoA estimation method to calculate the elevation in 3D place. We conduct spectrum on fine- grained channel state information data, and successfully detect the frequency of UAV vibration due to the rotation of UAV's propellers, and finally improve the accuracy through a clustering algorithm. Our system is prototyped and evaluated using commodity WiFi devices in real-world environment. Our system shows a good performance, which achieves 86.6% of accuracy, 87.3% of precision and 85.8% of recall.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122167924","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

CPC-UAV Welcome Message 中国共产党无人机欢迎辞

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396332

引用次数: 0

Title Page 标题页

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396325

引用次数: 0

IWMBMC Program IWMBMC程序

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/seconw.2018.8396339

引用次数: 0

Multi-Gateway Polling for Nanonetworks under Dynamic IoT Backhaul Bandwidth 动态物联网回程带宽下纳米网络的多网关轮询

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396353

Hang Yu, Bryan K. F. Ng, Winston K.G. Seah

{"title":"Multi-Gateway Polling for Nanonetworks under Dynamic IoT Backhaul Bandwidth","authors":"Hang Yu, Bryan K. F. Ng, Winston K.G. Seah","doi":"10.1109/SECONW.2018.8396353","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396353","url":null,"abstract":"As an emerging part of the Internet of Things (IoT), Electromagnetic-based Wireless NanoSensor Networks (EM-WNSNs) working in the TeraHertz (THz) band are envisaged to enable applications that demand high sensing resolution. For the high-speed nanonetworks deployed for time critical applications, the limited IoT backhaul bandwidth of the existing infrastructure becomes the bottleneck that deteriorates resource utilization efficiency. On the one hand, the bandwidth demand exceeding the supply results in unnecessary energy consumption on nano-devices due to the overdue data discarded. On the other hand, the excess supply of bandwidth reduces the bandwidth efficiency. To address this problem, the On-demand Efficient (OE) polling and On-demand Probabilistic (OP) polling were proposed. Nevertheless, the existing solutions only apply to the single-gateway scenario whereas deploying multiple gateways is required for achieving high data completeness and energy efficiency. Therefore, in this paper, we propose the Multi-gateway Probabilistic (MP) polling for the multi-gateway EMWNSNs. To achieve high bandwidth efficiency, in MP polling, one master gateway is selected for OP polling with the aggregated bandwidth that reduces the probabilistic uncertainty. Next, all gateways probabilistically receive packets using the bandwidth-based receiving windows. To the best of our knowledge, MP Polling is the first polling solution designed for the multi gateway EM-WNSNs under dynamic backhaul bandwidth.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114950134","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: 1

High-Efficiency Target Detection Scheme through Relay Nodes in Chemotactic-Based Molecular Communication 基于化学策略的分子通信中继节点高效目标检测方案

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396349

Liting Yang, Y. Mao, Qiang Liu, Haoyang Zhai, Kun Yang

引用次数: 8

On Greedy Routing in Dynamic UAV Networks 动态无人机网络贪心路由研究

2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops) Pub Date : 2018-06-01 DOI: 10.1109/SECONW.2018.8396354

M. Khaledi, Arnau Rovira-Sugranes, F. Afghah, A. Razi

{"title":"On Greedy Routing in Dynamic UAV Networks","authors":"M. Khaledi, Arnau Rovira-Sugranes, F. Afghah, A. Razi","doi":"10.1109/SECONW.2018.8396354","DOIUrl":"https://doi.org/10.1109/SECONW.2018.8396354","url":null,"abstract":"Unmanned aerial vehicles (UAVs), commonly known as drones, are becoming increasingly popular for various applications. Freely flying drones create highly dynamic environments, where conventional routing algorithms which rely on stationary network contact graphs fail to perform efficiently. Also, link establishment through exploring optimal paths using hello messages (as is used in AODV algorithm) deems extremely inefficient and costly for rapidly changing network topologies. In this paper, we present a distance-based greedy routing algorithm for UAV networks solely based on UAVs' local observations of their surrounding subnetwork. Thereby, neither a central decision maker nor a time consuming route setup and maintenance mechanism is required. To evaluate the proposed method, we derive an analytical bound for the expected number of hops that a packet traverses. Also, we find the expected end-to-end distance traveled by each packet as well as the probability of successful delivery. The simulation results verify the accuracy of the developed analytical expressions and show considerable improvement compared to centralized shortest path routing algorithms.","PeriodicalId":346249,"journal":{"name":"2018 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122849915","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: 17