2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)最新文献_第2页

Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization 基于自适应参数化的基于tsch的物联网网络QoS保障的分布式插槽调度

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00029

Jinhwan Jung, Daewoo Kim, Taeyoung Lee, Joohyun Kang, Namjo Ahn, Yung Yi

{"title":"Distributed Slot Scheduling for QoS Guarantee over TSCH-based IoT Networks via Adaptive Parameterization","authors":"Jinhwan Jung, Daewoo Kim, Taeyoung Lee, Joohyun Kang, Namjo Ahn, Yung Yi","doi":"10.1109/IPSN48710.2020.00029","DOIUrl":"https://doi.org/10.1109/IPSN48710.2020.00029","url":null,"abstract":"Internet of Things (IoT), which connects a large number of devices with wireless connectivity, has come into the spotlight. As the scope of IoT applications becomes wider, we observe a surge of missioncritical IoT services, e.g., industrial automation systems and medical IoT systems, requiring to satisfy stringent latency, reliability, and/or energy efficiency guarantees. For this purpose, a new MAC, called Time Slotted Channel Hopping (TSCH), has been standardized in IEEE 802.15.4e. However, it is challenging to design a distributed scheduling protocol that achieves the required QoS and energy efficiency at the same time due to complicated tradeoff (providing enough number of slots for QoS vs. minimizing scheduled slots for energy efficiency). In this paper, we propose a novel framework for providing QoS, called SSAP, which is designed to maximize network lifetime in a distributed fashion while satisfying given reliability and latency requirements. To this end, we decompose our goal into two crucial design components: (i) scheduling of slot and channel, and (ii) control of medium access period, each of which is performed by low-complexity and distributed mechanisms. To the best of our knowledge, this paper is the first work to comprehensively handle multiple QoSes for TSCH-based IoT networks. We implement SSAP in Contiki OS and perform extensive simulations and real experiments under various scenarios. Our evaluation results demonstrate that SSAP satisfies highly reliable communication and latency requirements while having the network lifetime that is 1.6 times longer compared to existing protocols for TSCH.","PeriodicalId":439751,"journal":{"name":"2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130888587","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: 7

[IPSN 2020 Title page] [IPSN 2020标题页]

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/ipsn48710.2020.00002

引用次数: 0

Efficient Localization of Multiple Intruders in Shared Spectrum System 共享频谱系统中多入侵者的有效定位

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00025

Caitao Zhan, Himanshu Gupta, A. Bhattacharya, Mohammad Ghaderibaneh

{"title":"Efficient Localization of Multiple Intruders in Shared Spectrum System","authors":"Caitao Zhan, Himanshu Gupta, A. Bhattacharya, Mohammad Ghaderibaneh","doi":"10.1109/IPSN48710.2020.00025","DOIUrl":"https://doi.org/10.1109/IPSN48710.2020.00025","url":null,"abstract":"We address the problem of localizing multiple intruders (unauthorized transmitters) using a distributed set of sensors in the context of a shared spectrum system. In contrast to single transmitter localization, multiple transmitter localization (MTL) has not been thoroughly studied. In shared spectrum systems, it is important to be able to localize simultaneously present multiple intruders to effectively protect a shared spectrum from malware-based, jamming, or other multi-device unauthorized-usage attacks. The key challenge in solving the MTL problem comes from the need to \"separate\" an aggregated signal received from multiple intruders into separate signals from individual intruders. Furthermore, in a shared spectrum paradigm, presence of an evolving set of authorized users (e.g., primary and secondary users) adds to the challenge.In this paper, we propose an efficient algorithm for the MTL problem based on the hypothesis-based Bayesian approach called MAP. Direct application of the MAP approach to the MTL problem incurs prohibitive computational and training cost. In this work, we develop optimized techniques based on MAP with significantly improved computational and training costs. In particular, we develop a novel interpolation method, ILDW, which helps minimize the training cost. We generalize our techniques via online-learning to the setting wherein there may be a set of dynamically-changing authorized users present in the background. We evaluate our developed techniques on large-scale simulations as well as on small-scale indoor and outdoor testbeds. Our experiments demonstrate that our technique outperforms the prior approaches by significant margins, i.e., error up to 74% less in large-scale simulations and 30% less in real-world testbeds.","PeriodicalId":439751,"journal":{"name":"2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121532105","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: 14

PhD Forum Abstract: Scheduling Tasks on Intermittently Powered Systems 摘要:间歇供电系统的任务调度

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00010

Bashima Islam

{"title":"PhD Forum Abstract: Scheduling Tasks on Intermittently Powered Systems","authors":"Bashima Islam","doi":"10.1109/IPSN48710.2020.00010","DOIUrl":"https://doi.org/10.1109/IPSN48710.2020.00010","url":null,"abstract":"The recent development of extremely low-power computing devices and efficient energy harvesters led to the creation of computing systems that are powered by intermittently available harvested energy, e.g., solar, piezoelectric, and radio-frequency (RF). Such computing systems go through power-on and off phases due to the lack of adequate harvesting energy. These systems are known as Intermittent Computing Systems. While existing works on intermittent computing systems concentrate preliminary on the lower level goals, e.g., execution progress and memory consistency [1], [3], [5], [6], [9], the potential of such systems under timing constraints is yet to be explored. Some applications of intermittent systems with timing constraints include monitoring wildlife, health, infrastructure and environmental conditions, pedestrian safety, indoor localization and occupancy detection. In this work, we schedule tasks on intermittent systems where tasks may have timing constraints. We focus on the timely-response of intermittent systems by (1) developing unified frameworks that integrate harvesting and real-time systems, and (2) engineering machine learning algorithms for timely execution of the important portion of a task via imprecise scheduling.","PeriodicalId":439751,"journal":{"name":"2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134065816","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: 0

Poster Abstract: A QoS-aware, Energy-efficient Trajectory Optimization for UAV Base Stations using Q-Learning 摘要:基于q学习的无人机基站qos感知节能轨迹优化

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00-22

Shavbo Salehi, J. Hassan, Ayub Bokani, S. A. Hoseini, S. Kanhere

引用次数: 4

PhD Forum Abstract: Energy Harvesting based Sensing for the Batteryless IoT 摘要:基于能量收集的无电池物联网传感

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00007

M. M. Sandhu

引用次数: 3

PhD Forum Abstract: Transforming Construction Processes using Internet of Things and Blockchain 摘要:用物联网和区块链改造建筑流程

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00066

Ambrose Hill

引用次数: 3

Demo Abstract: Bootstrapping Batteryless Networks Using Fluorescent Light Properties 摘要:利用荧光灯特性启动无电池网络

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.000-8

Kai Geissdoerfer, Friedrich Schmidt, B. Kusy, Marco Zimmerling

引用次数: 2

Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network 基于时空融合网络的细粒度无线电地图重建

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00-51

Kehan Li, Jiming Chen, B. Yu, Zhangchong Shen, Chao Li, Shibo He

{"title":"Supreme: Fine-grained Radio Map Reconstruction via Spatial-Temporal Fusion Network","authors":"Kehan Li, Jiming Chen, B. Yu, Zhangchong Shen, Chao Li, Shibo He","doi":"10.1109/IPSN48710.2020.00-51","DOIUrl":"https://doi.org/10.1109/IPSN48710.2020.00-51","url":null,"abstract":"Radio map, serving as an eﬃcient indicator of wireless environments, has been widely used in smart-city applications, including network monitoring/planning, anomaly signal detection, and indoor/outdoor localization. It is hard to maintain an update-to-date fine-grained radio map within a large area, since the radio map changes rapidly due to the internal and external factors. Previous studies usually relied on time-consuming site surveys at densely predefined reference points, leading to either coarse-grained or out-of-date radio maps. In this paper, we propose a fine-grained radio map reconstruction framework, called Supreme, based on crowd-sourced data in an image super-resolution manner. Specifically, Supreme explores spatial-temporal relationships in historical coarse-grained radio maps and builds a real-time fine-grained radio map using deep spatial-temporal reconstruction networks. Furthermore, a heterogeneous data fusion module is devised to make full use of external information. To evaluate the performance of Supreme, we conduct extensive experiments and ablation studies on a large-scale dataset with a total of six-month data collected from two university campuses. Besides, we investigate the transferability of Supreme in different locations and service networks, showing that the fine-tuned model can largely reduce the training time and achieve better performance. Experimental results demonstrate that our model outperforms state-of-the-art baselines and a case study on the localization is enhanced with marginal improvements on accuracy.","PeriodicalId":439751,"journal":{"name":"2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123038754","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

LOCI: Privacy-aware, Device-free, Low-power Localization of Multiple Persons using IR Sensors LOCI:隐私意识，无设备，使用红外传感器的多人低功耗定位

2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) Pub Date : 2020-04-01 DOI: 10.1109/IPSN48710.2020.00018

S. Narayana, V. Rao, R. V. Prasad, A. K. Kanthila, K. Managundi, L. Mottola, T. V. Prabhakar

{"title":"LOCI: Privacy-aware, Device-free, Low-power Localization of Multiple Persons using IR Sensors","authors":"S. Narayana, V. Rao, R. V. Prasad, A. K. Kanthila, K. Managundi, L. Mottola, T. V. Prabhakar","doi":"10.1109/IPSN48710.2020.00018","DOIUrl":"https://doi.org/10.1109/IPSN48710.2020.00018","url":null,"abstract":"High accuracy and device-free indoor localization is still a holy grail to enable smart environments. With the growing privacy concerns and regulations, it is necessary to develop methods and systems that can be low-power, device-free as well as privacy-aware. While IR-based solutions fit the bill, they require many modules to be installed in the area of interest for higher accuracy, or proper planning during installation, or they may not work if the background has multiple heat-emitting objects, etc. In this paper, we propose a custom-built miniature device called LOCI that uses IR sensing. One unit of LOCI can provide three-dimensional localization at best. LOCI uses only a thermopile and a PIR sensor built within a 5x5x2 cm3 module. Since IR-based sensing is used, LOCI consumes around 80 mW. LOCI uses analog waveform from the PIR sensor with the gain of the PIR sensor dynamically controlled through software in real-time to simulate spatial diversity. LOCI proposes low-complexity techniques with sensor fusion to eliminate the noise in the background, which has not been handled in previous works even with sophisticated signal processing techniques. Since LOCI uses raw data from the thermopile, the computations are power-efficient. We present the complete design of LOCI and the proposed methodology to estimate height and location. LOCI achieves accuracies of sub-22 cm with a confidence of 0.5 and sub-35 cm with a confidence of 0.8. The best-case location accuracy is 12.5 cm. The accuracy of height estimation is within 8 cm in majority cases. LOCI can easily be extended to recognize activities.","PeriodicalId":439751,"journal":{"name":"2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114553982","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: 7