Chinh T. Dang, Ammar Safaie, M. Phanikumar, H. Radha
{"title":"Wind speed and direction estimation using manifold approximation","authors":"Chinh T. Dang, Ammar Safaie, M. Phanikumar, H. Radha","doi":"10.1145/2737095.2742998","DOIUrl":"https://doi.org/10.1145/2737095.2742998","url":null,"abstract":"In this paper, we describe a novel manifold-based interpolation method for sensed environmental data. Furthermore, we present initial results for applying the proposed method to estimate wind speed and direction around Lake Michigan. The proposed method is showing promising results based on the hypothesis that an environmental dataset (including longitude, latitude time, and measured parameters) can be mapped onto an underlying differential manifold. Our preliminary results show that the proposed manifold-based approach outperforms state-of-the-art interpolation and estimation methods.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122546788","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}
Junghoon Lee, G. Park, Yumin Cho, Suna Kim, Jiwon Jung
{"title":"Spatio-temporal analysis of state-of-charge streams for electric vehicles","authors":"Junghoon Lee, G. Park, Yumin Cho, Suna Kim, Jiwon Jung","doi":"10.1145/2737095.2742932","DOIUrl":"https://doi.org/10.1145/2737095.2742932","url":null,"abstract":"This paper collects the SoC (State-of-Charge) changes of electric vehicles and analyzes the battery consumption behavior. For multiple SoC streams generated on the same road, a Hadoop Pig script filters essential information fields out of the vast amount of SoC records, while its user-defined function adds the distance and the time taken from the start point. Next, neural networks are built to trace the SoC dynamics according to both spatial and temporal aspects of SoC records using the R statistics package. A time-combined model reduces the fitting error by 50 %, compared with the distance-only model. The ongoing project keeps accumulating SoC streams and our model will investigate the effect of other parameters and correlate different streams. An accurate model for major roads taken by most trips, will lead to a more efficient estimation of battery consumption for any point-to-point routes.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122569367","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}
Lei Shu, Kailiang Li, Junlin Zen, Huilin Sun, Zhiqiang Huo, Zhangbing Zhou
{"title":"Using wearable equipment to construct monitoring maps in large-scale petrochemical plants","authors":"Lei Shu, Kailiang Li, Junlin Zen, Huilin Sun, Zhiqiang Huo, Zhangbing Zhou","doi":"10.1145/2737095.2737727","DOIUrl":"https://doi.org/10.1145/2737095.2737727","url":null,"abstract":"This paper focuses on using wearable equipment to make workers participate in constructing monitoring maps in large-scale petrochemical plants, which collaborates with static sensor nodes in given areas. Furthermore, this study provides a sensing pattern with less cost and higher flexibility, which effectively contribute to collective effort with static sensor nodes. Several open research issues are discussed.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126033276","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}
E. Arkin, Yuval Cassuto, A. Efrat, G. Grebla, Joseph S. B. Mitchell, Swaminathan Sankararaman, M. Segal
{"title":"Optimal placement of protective jammers for securing wireless transmissions in a geographic domain","authors":"E. Arkin, Yuval Cassuto, A. Efrat, G. Grebla, Joseph S. B. Mitchell, Swaminathan Sankararaman, M. Segal","doi":"10.1145/2737095.2742142","DOIUrl":"https://doi.org/10.1145/2737095.2742142","url":null,"abstract":"Wireless communication systems, such as RFIDs and wireless sensor networks, are increasingly being used in security-sensitive applications, e.g. credit card transactions or monitoring patient health in hospitals. Wireless jamming by transmitting artificial noise, which is traditionally used as an offensive technique for disrupting communication, has recently been explored as a means of protecting sensitive communication from eavesdroppers. In this paper, we consider location optimization problems related to the placement and power consumption of such friendly jammers in order to protect the privacy of wireless communications constrained within a geographic region. Under our model, we show that the problem of placing a minimum number of fixed-power jammers is NP-Hard, and we provide a PTAS ((1 + ε)-approximation scheme) for the same, where ε is a tunable parameter between 0 and 1.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130162849","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}
Desheng Zhang, Juanjuan Zhao, Fan Zhang, Ruobing Jiang, Tian He
{"title":"Feeder: supporting last-mile transit with extreme-scale urban infrastructure data","authors":"Desheng Zhang, Juanjuan Zhao, Fan Zhang, Ruobing Jiang, Tian He","doi":"10.1145/2737095.2737121","DOIUrl":"https://doi.org/10.1145/2737095.2737121","url":null,"abstract":"In this paper, we propose a transit service Feeder to tackle the last-mile problem, i.e., passengers' destinations lay beyond a walking distance from a public transit station. Feeder utilizes ridesharing-based vehicles (e.g., minibus) to deliver passengers from existing transit stations to selected stops closer to their destinations. We infer real-time passenger demand (e.g., exiting stations and times) for Feeder design by utilizing extreme-scale urban infrastructures, which consist of 10 million cellphones, 27 thousand vehicles, and 17 thousand smartcard readers for 16 million smartcards in a Chinese city Shenzhen. Regarding these numerous devices as pervasive sensors, we mine both online and offline data for a two-end Feeder service: a back-end Feeder server to calculate service schedules; front-end customized Feeder devices in vehicles for real-time schedule downloading. The evaluation results show that compared to the ground truth, Feeder reduces last-mile distances by 68% and travel time by 52% on average.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133050615","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}
Sami Ahmari, Alireza Ameri Daragheh, Sivasankar Padmanabhan, K. Parameshwaran, Kareem Ragheb, M. Mozumdar
{"title":"BioMeSensi: a wearable multi-sensing platform for bio-medical applications","authors":"Sami Ahmari, Alireza Ameri Daragheh, Sivasankar Padmanabhan, K. Parameshwaran, Kareem Ragheb, M. Mozumdar","doi":"10.1145/2737095.2742920","DOIUrl":"https://doi.org/10.1145/2737095.2742920","url":null,"abstract":"Living in an era characterized by the rapid growth of Internet of Things (IoT), people can now easily access information about anything at anytime and anywhere. Still today, what is missing is that people cannot get relatively basic information of their own health without visiting a physician. Moreover, there is no generally acceptable system to provide vital health information such as heart rate, skin/core body temperature, respiratory rate, blood pressure, etc. In BioMeSensi, we propose an implementation of a wearable system which will be connected with the cloud infrastructure to collect valuable health related data to fill the current technological void.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133381003","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}
{"title":"Screen dynamics analysis-based adaptive frame skipping for efficient mobile screen sharing","authors":"Puleum Bae, Jeonggil Ko, J. Ryu, Young-Bae Ko","doi":"10.1145/2737095.2737728","DOIUrl":"https://doi.org/10.1145/2737095.2737728","url":null,"abstract":"The introduction of ubiquitously connected mobile computing platforms acted as a catalyst for accessing and enjoying multimedia/visual contents on a more diverse set of computing environments than ever before. Recently, with the standardization of various protocols, a number of screen sharing services have been introduced, in which the contents of a mobile computing platform's screen is shared with a neighboring device [1]. With these services, data contents collected from various external sensing sources, can be captured at a mobile platform and (visually) shared easily with others using direct wireless connections. However, a previously unconsidered technical issue begins to impact the user experience levels of these multimedia/screen sharing mobile services. Specifically, we begin to notice energy efficiency as an important performance factor to consider when utilizing visual contents on mobile platforms with resource limitations. Actively using computational resources for visual applications lead to device heating and shorter battery life-times, as well as increased use of the wireless bandwidth when downloading or sharing the visual contents.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133942919","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}
Lei Shu, Kailiang Li, Junlin Zen, Xiangjie Li, Huilin Sun, Zhiqiang Huo, Guangjie Han
{"title":"A smart helmet for network level early warning in large scale petrochemical plants","authors":"Lei Shu, Kailiang Li, Junlin Zen, Xiangjie Li, Huilin Sun, Zhiqiang Huo, Guangjie Han","doi":"10.1145/2737095.2737136","DOIUrl":"https://doi.org/10.1145/2737095.2737136","url":null,"abstract":"As the compensation and extension of static wireless sensor nodes, wearable helmets can build regional early warning network of personnel security. In this paper, a wearable helmet is presented towards early warning of leaking toxic gas in large-scale petrochemical plants for protecting the lives and safety of workers better.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"237 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133063178","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}
Matthew Tan Creti, V. Sundaram, S. Bagchi, P. Eugster
{"title":"TARDIS: software-only system-level record and replay in wireless sensor networks","authors":"Matthew Tan Creti, V. Sundaram, S. Bagchi, P. Eugster","doi":"10.1145/2737095.2737096","DOIUrl":"https://doi.org/10.1145/2737095.2737096","url":null,"abstract":"Wireless sensor networks (WSNs) are plagued by the possibility of bugs manifesting only at deployment. However, debugging deployed WSNs is challenging for several reasons---the remote location of deployed sensor nodes, the non-determinism of execution that can make it difficult to replicate a buggy run, and the limited hardware resources available on a node. In particular, existing solutions to record and replay debugging in WSNs fail to capture the complete code execution, thus negating the possibility of a faithful replay and causing a large class of bugs to go unnoticed. In short, record and replay logs a trace of predefined events while a deployed application is executing, enabling replaying of events later using debugging tools. Existing recording methods fail due to the many sources of non-determinism and the scarcity of resources on nodes. In this paper we introduce Trace And Replay Debugging In Sensornets (Tardis), a software-only approach for deterministic record and replay of WSN nodes. Tardis is able to record all sources of non-determinism, based on the observation that such information is compressible using a combination of techniques specialized for respective sources. Despite their domain-specific nature, the techniques presented are applicable to the broader class of resource-constrained embedded systems. We empirically demonstrate the viability of our approach and its effectiveness in diagnosing a newly discovered bug in a widely used routing protocol.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116337987","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}
Stanislav Bobovych, Nilanjan Banerjee, R. Robucci, J. Parkerson, J. Schmandt, C. Patel
{"title":"SunaPlayer: high-accuracy emulation of solar cells","authors":"Stanislav Bobovych, Nilanjan Banerjee, R. Robucci, J. Parkerson, J. Schmandt, C. Patel","doi":"10.1145/2737095.2737110","DOIUrl":"https://doi.org/10.1145/2737095.2737110","url":null,"abstract":"Evaluating and debugging solar panel-driven systems is a cumbersome process. The system must be deployed in the wild, software and hardware bugs identified remotely, and the development cycle must be repeated to build a robust system. Emulation platforms for solar panels offer a plausible remedy, however, existing systems have narrow operating range and are not portable. To address these shortcomings, we design, implement, and evaluate the SunaPlayer, a solar panel emulation platform that supports a wide operating current range (430 micro-amps to 1.89 amps) and voltage range (0.02 V to 9.8 V), and can be powered using batteries. SunaPlayer uses a high gain analog device, a PNP darlington transistor, a multi-scale driving and measurement circuit, and a novel state machine based proportional-integral-differential controller to build an accurate non-linear model of the solar panel. We have implemented a fully functional SunaPlayer prototype, and demonstrate that it can emulate a wide range of solar panels with high accuracy, low latency, high sensitivity, and low power consumption. The design methodology for the SunaPlayer can be used to build systems that model hard to emulate non-linear devices.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122144577","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}