2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)最新文献_第7页

How Local Information Improves Rendezvous in Cognitive Radio Networks 局部信息如何改善认知无线电网络中的会合

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI: 10.1109/SAHCN.2018.8397135

Yongqin Fu, Yuexuan Wang, Zhaoquan Gu, Xiaolin Zheng, Tianhao Wei, Zhen Cao, Heming Cui, F. Lau

{"title":"How Local Information Improves Rendezvous in Cognitive Radio Networks","authors":"Yongqin Fu, Yuexuan Wang, Zhaoquan Gu, Xiaolin Zheng, Tianhao Wei, Zhen Cao, Heming Cui, F. Lau","doi":"10.1109/SAHCN.2018.8397135","DOIUrl":"https://doi.org/10.1109/SAHCN.2018.8397135","url":null,"abstract":"Cognitive Radio Network (CRN) is a promising technique for solving the wireless spectrum scarcity problem. Rendezvous is the fundamental process of CRNs. We aim at designing faster rendezvous algorithms for CRNs. We find that local information such as user's ID and the label of an available channel is very useful for designing faster rendezvous algorithms. First, we propose the Sequence-Rotating Rendezvous (SRR) algorithm. The SRR algorithm can guarantee rendezvous for any two users i and j in (2P²+ 2P) timeslots, where P is the least prime not less than the total number of channels in the network. Second, we utilize the user's identifier (ID) to design an ID-based Rendezvous (IDR) algorithm. The IDR algorithm can guarantee rendezvous for any two users i and j in (l + 1)(P_i + 2)(P_j + 2) timeslots, where Pi and Pj are the smallest primes which are not less than the numbers of available channels of users i and j respectively. Third, we propose a Channel-Label- based Rendezvous (CLR) algorithm which can guarantee rendezvous for any two usersin ((P_i+2) (P_j+2)+PN)(⌈log_2N⌉+1) timeslots, where N is the total number of channels in the network and P_N is the least prime which is not less than N. The theoretical Maximum Time To Rendezvous (MTTRs) of the three algorithms we propose are less than those of the state-of-the-art algorithms in the corresponding categories respectively in certain scenarios. All of our algorithms can be used in multi-user scenarios. We conduct a number of experiments to compare our algorithms with state- of-the-art rendezvous algorithms in different scenarios, the results of which confirm our theoretical analysis.","PeriodicalId":139623,"journal":{"name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","volume":"18 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":"129958655","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: 8

Wi-Run: Multi-Runner Step Estimation Using Commodity Wi-Fi Wi-Run:使用商用Wi-Fi进行多步估计

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI: 10.1109/SAHCN.2018.8397122

Lei Zhang, Meiguang Liu, Liangfu Lu, Liangyi Gong

{"title":"Wi-Run: Multi-Runner Step Estimation Using Commodity Wi-Fi","authors":"Lei Zhang, Meiguang Liu, Liangfu Lu, Liangyi Gong","doi":"10.1109/SAHCN.2018.8397122","DOIUrl":"https://doi.org/10.1109/SAHCN.2018.8397122","url":null,"abstract":"Step counting is a fundamental unit of human locomotion, and is a preferred metric for quantifying physical activity. However, the existing step counters are too inconvenient to wear and the treadmill can not count the steps. Recently, commercial Wi-Fi based device-free sensing shows a promising future for ubiquitous motion-based interactions and provides possibility for the device free step counting. Previous research of human activity sensing with commercial Wi- Fi mainly focuses on single person activity recognition. The primary challenge for the multi-person activity recognition is too difficult to derive each person's motion induced signal. All the independent running induced signals are mixed together with similar frequency and the common time-frequency analysis approaches do not work. The problem becomes even more difficult with only one pair of commodity Wi-Fi devices, which have limited number of antennas and bandwidth. In this paper, we propose Wi-Run, a multi-runner step estimation system with only one pair of commodity Wi-Fi devices. Wi-Run is composed of three innovative methods: (1) Canonical Polyadic (CP) decomposition can effectively separate running related signals. (2) The stable signal matching algorithm is applied to find the decomposed signal pairs for each runner. (3) The peak detection method is adopted to estimate steps for each runner. The multi-runner step estimation is achieved without introducing extra overhead. The experimental results illustrate the superior performance of Wi-Run, whose accuracy is about 88.25% on average.","PeriodicalId":139623,"journal":{"name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","volume":"39 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":"134507919","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: 16

Multiple Granularity Online Control of Cloudlet Networks for Edge Computing 面向边缘计算的云网络多粒度在线控制

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI: 10.1109/SAHCN.2018.8397141

Lei Jiao, Lingjun Pu, L. Wang, Xiaojun Lin, Jun Yu Li

{"title":"Multiple Granularity Online Control of Cloudlet Networks for Edge Computing","authors":"Lei Jiao, Lingjun Pu, L. Wang, Xiaojun Lin, Jun Yu Li","doi":"10.1109/SAHCN.2018.8397141","DOIUrl":"https://doi.org/10.1109/SAHCN.2018.8397141","url":null,"abstract":"Operating distributed cloudlets at optimal cost is nontrivial when facing not only the dynamic and unpredictable resource prices and user requests, but also the low efficiency of today's immature cloudlet infrastructures. We propose to control cloudlet networks at multiple granularities: fine-grained control of servers inside cloudlets and coarse-grained control of cloudlets themselves. We model this problem as a mixed-integer nonlinear program with the switching cost over time. To solve this problem online, we firstly linearize, \"regularize\", and decouple it into a series of one-shot subproblems that we solve at each corresponding time slot, and afterwards we design an iterative, dependent rounding framework using our proposed randomized pairwise rounding algorithm to convert the fractional control decisions into the integral ones at each time slot. Via rigorous theoretical analysis, we exhibit our approach's performance guarantee in terms of the competitive ratio and the multiplicative integrality gap towards the offline optimal integral decisions. Extensive evaluations with real-world data confirm the empirical superiority of our approach over the single granularity server control and the state-of-the-art algorithms.","PeriodicalId":139623,"journal":{"name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","volume":"1 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":"131282305","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: 34

BLEND: BLE Beacon-Aided Fast WiFi Handoff for Smartphones 用于智能手机的BLE信标辅助快速WiFi切换

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI: 10.1109/SAHCN.2018.8397124

Junyoung Choi, Gyujin Lee, Yeonchul Shin, Jonghoe Koo, Minseok Jang, Sunghyun Choi

{"title":"BLEND: BLE Beacon-Aided Fast WiFi Handoff for Smartphones","authors":"Junyoung Choi, Gyujin Lee, Yeonchul Shin, Jonghoe Koo, Minseok Jang, Sunghyun Choi","doi":"10.1109/SAHCN.2018.8397124","DOIUrl":"https://doi.org/10.1109/SAHCN.2018.8397124","url":null,"abstract":"Recently, WiFi has become irreplaceable wireless technology to support increasing mobile applications and data traffic. While today's smartphone users frequently use WiFi on the move, smartphone does not perform WiFi handoff to nearby access points (APs) even if signal quality is severely degraded. Such undesired operation of smartphone is known as sticky client problem. In this work, we focus on resolving sticky client problem through fast WiFi handoff. First, we analyze the causes of sticky client problem based on experiments with commercial Android smartphones by focusing on WiFi scanning and handoff operations. Note that smartphones and state-of-the-art APs are equipped with Bluetooth Low Energy (BLE), we propose a practical solution, called BLEND, utilizing BLE to enable fast WiFi handoff. Smartphone acquires information about nearby APs through BLE advertising packet sent by APs, and then judiciously performs WiFi handoff. We implement BLEND on Android smartphones and demonstrate that BLEND achieves up to 61% and 111% higher throughput and video bitrate, respectively, compared with a commercial Android application. We also validate that BLEND operates on smartphone with negligible energy overhead.","PeriodicalId":139623,"journal":{"name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","volume":"66 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":"116229480","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: 5

Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization 需求驱动的磁波束成形MIMO无线功率传输优化

2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) Pub Date : 2018-06-01 DOI: 10.1109/SAHCN.2018.8397139

Guodong Cao, Hao Zhou, Hangkai Zhang, Jun Xu, Panlong Yang, Xiangyang Li

{"title":"Requirement-Driven Magnetic Beamforming for MIMO Wireless Power Transfer Optimization","authors":"Guodong Cao, Hao Zhou, Hangkai Zhang, Jun Xu, Panlong Yang, Xiangyang Li","doi":"10.1109/SAHCN.2018.8397139","DOIUrl":"https://doi.org/10.1109/SAHCN.2018.8397139","url":null,"abstract":"In magnetic resonant coupling (MRC) enabled wireless power transfer (WPT) systems, the multiple-input multiple-output (MIMO) based technique, termed as ``magnetic beamforming\", is used to enhance the efficiency of simultaneous power transfer to multiple receivers (RXs). In this paper, we study the requirement driven magnetic beamforming design in an MIMO MRC-WPT system, which is formulated as a weighted sum-power maximization (WSPMax) problem. We relax the peak current/voltage constraints, and prove that the optimal solution to the relaxed subproblem is choosing the transmitter current as an eigenvector of a constructed matrix. By discussing the WSPMax problem under special cases with limited power budget, we derive a close- form theoretical bound of the textbf{WSPMax} problem, and demonstrate that the power transfer efficiency maximization problem can be solved through a transmitter-only method, i.e., without any communication feedback from RXs. More than just evaluation through simulation results, we also verify the proposed algorithm after prototyping the system with off-the-shelf components. Our results suggest the efficiency of the proposed algorithm, and its ability to performing requirement-driven power distribution among receivers.","PeriodicalId":139623,"journal":{"name":"2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)","volume":"39 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":"115208481","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