Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846774
Shiguang Wang, T. Abdelzaher, S. Gajendran, Ajith Herga, Sachin Kulkarni, Shen Li, Hengchang Liu, C. Suresh, Abhishek Sreenath, William Dron, Alice Leung, R. Govindan, J. P. Hancock
This poster describes the information funnel, a data collection protocol for social sensing that maximizes a measure of delivered information utility. We argue that information-centric networking (ICN), where data objects are named instead of hosts, is especially suited for utility-maximizing transport in resource-constrained environments, because data names can expose similarities between named objects that can be leveraged for minimizing redundancy, hence maximizing utility. We implement the funnel on the recently proposed named-data networking (NDN) stack, an instance of ICN. With proper name space design, a protocol prioritizes transmission of data items over bottlenecks to maximize information utility, with very weak assumptions on the utility function. This prioritization is achieved merely by comparing data names, without knowing application-level name semantics, which makes it generalizable across a wide range of applications. Evaluation results show the information funnel improves the utility of the collected data objects compared with state-of-the-art solutions.
{"title":"Poster abstract: Information-maximizing data collection in social sensing using named-data","authors":"Shiguang Wang, T. Abdelzaher, S. Gajendran, Ajith Herga, Sachin Kulkarni, Shen Li, Hengchang Liu, C. Suresh, Abhishek Sreenath, William Dron, Alice Leung, R. Govindan, J. P. Hancock","doi":"10.1109/IPSN.2014.6846774","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846774","url":null,"abstract":"This poster describes the information funnel, a data collection protocol for social sensing that maximizes a measure of delivered information utility. We argue that information-centric networking (ICN), where data objects are named instead of hosts, is especially suited for utility-maximizing transport in resource-constrained environments, because data names can expose similarities between named objects that can be leveraged for minimizing redundancy, hence maximizing utility. We implement the funnel on the recently proposed named-data networking (NDN) stack, an instance of ICN. With proper name space design, a protocol prioritizes transmission of data items over bottlenecks to maximize information utility, with very weak assumptions on the utility function. This prioritization is achieved merely by comparing data names, without knowing application-level name semantics, which makes it generalizable across a wide range of applications. Evaluation results show the information funnel improves the utility of the collected data objects compared with state-of-the-art solutions.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126612027","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846759
Theodoros Bourchas, M. Bednarek, D. Giustiniano, Vincent Lenders
Time-of-flight echo techniques have been proposed to estimate the distance between a local and a target station over regular WiFi radio devices. Their current main shortcoming is that they are affected by severe noise components at both stations. Our aim in this work is to quantify the noise level introduced by the target in order to derive practical limits of the ranging accuracy achievable using off-the-shelf devices. For this purpose, we develop a low-noise experimental platform which allows us to measure the echo-reply delay with very high accuracy. Our preliminary results with two popular chipsets from different manufacturers show that the median echo-reply delay at the target is never equal to the nominal SIFS value, and it deviates by approximately 10-20 ns over time, suggesting a practical ranging accuracy limit of 3 m.
{"title":"Poster abstract: Practical limits of WiFi time-of-flight echo techniques","authors":"Theodoros Bourchas, M. Bednarek, D. Giustiniano, Vincent Lenders","doi":"10.1109/IPSN.2014.6846759","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846759","url":null,"abstract":"Time-of-flight echo techniques have been proposed to estimate the distance between a local and a target station over regular WiFi radio devices. Their current main shortcoming is that they are affected by severe noise components at both stations. Our aim in this work is to quantify the noise level introduced by the target in order to derive practical limits of the ranging accuracy achievable using off-the-shelf devices. For this purpose, we develop a low-noise experimental platform which allows us to measure the echo-reply delay with very high accuracy. Our preliminary results with two popular chipsets from different manufacturers show that the median echo-reply delay at the target is never equal to the nominal SIFS value, and it deviates by approximately 10-20 ns over time, suggesting a practical ranging accuracy limit of 3 m.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128114392","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846787
O. Hahm, E. Baccelli, Hauke Petersen, Matthias Wählisch, T. Schmidt
Manufacturers announce on a regular basis the availability of novel tiny devices, most of them featuring network interfaces: the Internet of Things (IoT) is already here - from the hardware perspective. On the software side however, embedded platforms available so far made it uneasy for developers to build apps that run across heterogeneous IoT hardware. Linux does not scale down to small, energy-constrained devices, while alternatives such as Contiki yield a steep learning curve and lengthy development life-cycles because they rule out standard programming and debugging tools. RIOT is a new open source software platform bridging this gap. RIOT allows just about any programmer to develop IoT application with zero learning curve. This is achieved by allowing standard C and C++ application programming with multi-threading, using well-known debugging tools (gdb, Valgrind, profilers etc.), while requiring only a minimum of 1.5 kB of RAM. RIOT also provides built-in energy efficiency and real-time capabilities. These characteristics make this platform attractive in several contexts, including teaching in the field of the Internet of Things, and experimental research in the domain of sensor networks and the IoT.
{"title":"Demonstration abstract: Simply RIOT — Teaching and experimental research in the Internet of Things","authors":"O. Hahm, E. Baccelli, Hauke Petersen, Matthias Wählisch, T. Schmidt","doi":"10.1109/IPSN.2014.6846787","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846787","url":null,"abstract":"Manufacturers announce on a regular basis the availability of novel tiny devices, most of them featuring network interfaces: the Internet of Things (IoT) is already here - from the hardware perspective. On the software side however, embedded platforms available so far made it uneasy for developers to build apps that run across heterogeneous IoT hardware. Linux does not scale down to small, energy-constrained devices, while alternatives such as Contiki yield a steep learning curve and lengthy development life-cycles because they rule out standard programming and debugging tools. RIOT is a new open source software platform bridging this gap. RIOT allows just about any programmer to develop IoT application with zero learning curve. This is achieved by allowing standard C and C++ application programming with multi-threading, using well-known debugging tools (gdb, Valgrind, profilers etc.), while requiring only a minimum of 1.5 kB of RAM. RIOT also provides built-in energy efficiency and real-time capabilities. These characteristics make this platform attractive in several contexts, including teaching in the field of the Internet of Things, and experimental research in the domain of sensor networks and the IoT.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114123150","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846757
N. Rajagopal, Patrick Lazik, Anthony G. Rowe
The omnipresence of indoor lighting makes it an ideal vehicle for pervasive communication with mobile devices. In this paper, we present a communication scheme that enables interior ambient LED lighting systems to send data to mobile devices using either cameras or light sensors. By exploiting rolling shutter camera sensors that are common on tablets, laptops and smartphones, it is possible to detect high-frequency changes in light intensity reflected off of surfaces and in direct line-of-sight of the camera. We present a demodulation approach that allows smartphones to accurately detect frequencies as high as 8kHz with 0.2kHz channel separation. In order to avoid humanly perceivable flicker in the lighting, our system operates at frequencies above 2kHz and compensates for the non-ideal frequency response of standard LED drivers by adjusting the light's duty-cycle. By modulating the PWM signal commonly used to drive LED lighting systems, we are able to encode data that can be used as localization landmarks. We show through experiments how a binary frequency shift keying modulation scheme can be used to transmit data at 1.25 bytes per second (fast enough to send an ID code) from up to 29 unique light sources simultaneously in a single collision domain. We also show how tags can demodulate the same signals using a light sensor instead of a camera for low-power applications.
{"title":"Visual light landmarks for mobile devices","authors":"N. Rajagopal, Patrick Lazik, Anthony G. Rowe","doi":"10.1109/IPSN.2014.6846757","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846757","url":null,"abstract":"The omnipresence of indoor lighting makes it an ideal vehicle for pervasive communication with mobile devices. In this paper, we present a communication scheme that enables interior ambient LED lighting systems to send data to mobile devices using either cameras or light sensors. By exploiting rolling shutter camera sensors that are common on tablets, laptops and smartphones, it is possible to detect high-frequency changes in light intensity reflected off of surfaces and in direct line-of-sight of the camera. We present a demodulation approach that allows smartphones to accurately detect frequencies as high as 8kHz with 0.2kHz channel separation. In order to avoid humanly perceivable flicker in the lighting, our system operates at frequencies above 2kHz and compensates for the non-ideal frequency response of standard LED drivers by adjusting the light's duty-cycle. By modulating the PWM signal commonly used to drive LED lighting systems, we are able to encode data that can be used as localization landmarks. We show through experiments how a binary frequency shift keying modulation scheme can be used to transmit data at 1.25 bytes per second (fast enough to send an ID code) from up to 29 unique light sources simultaneously in a single collision domain. We also show how tags can demodulate the same signals using a light sensor instead of a camera for low-power applications.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114992154","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846784
Felix Sutton, Reto Da Forno, R. Lim, Marco Zimmerling, L. Thiele
We demonstrate the design and implementation of a prototype hardware/software architecture for automatic single word speech recognition on resource-constrained embedded de vices. Designed as a voice-activated extension of an existing wireless nurse call system, our prototype device continually listens for a pre-recorded keyword, and uses speech recognition techniques to trigger an alert upon detecting a match. Preliminary experiments show that our prototype achieves a high average detection rate of 96%, while only dissipating 28.5 mW for continuous audio sampling and duty-cycled speech recognition.
{"title":"Demonstration abstract: Automatic speech recognition for resource-constrained embedded systems","authors":"Felix Sutton, Reto Da Forno, R. Lim, Marco Zimmerling, L. Thiele","doi":"10.1109/IPSN.2014.6846784","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846784","url":null,"abstract":"We demonstrate the design and implementation of a prototype hardware/software architecture for automatic single word speech recognition on resource-constrained embedded de vices. Designed as a voice-activated extension of an existing wireless nurse call system, our prototype device continually listens for a pre-recorded keyword, and uses speech recognition techniques to trigger an alert upon detecting a match. Preliminary experiments show that our prototype achieves a high average detection rate of 96%, while only dissipating 28.5 mW for continuous audio sampling and duty-cycled speech recognition.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123616162","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}
Counting and identifying neighboring active nodes are two fundamental operations in wireless sensor networks (WSNs). In this paper, we propose two mechanisms, Power based Counting (Poc) and Power based Identification (Poid), which achieve fast and accurate counting and identification by allowing neighbors to respond simultaneously to a poller. A key observation that motivates our design is that the power of a superposed signal increases with the number of component signals under the condition of constructive interference (CI). However, due to the phase offsets and various hardware limitations (e.g., ADC saturation), the increased superposed power exhibits dynamic and diminishing returns as the number of component signals increases. This uncertainty of phase offsets and diminishing returns property of the superposed power pose serious challenges to the design of both Poc and Poid. To overcome these challenges, we design delay compensation methods to reduce the phase offset of each component signal, and propose a novel probabilistic estimation technique in cooperation with CI. We implement Poc and Poid on a testbed of 1 USRP and 50 TelosB nodes, the experimental results show that the accuracy of Poc is above 97.9%, and the accuracy of Poid is above 96.5% for most cases. In addition to their high accuracy, our methods demonstrate significant advantages over the state-of-the-art solutions in terms of substantially lower energy consumption and estimation delay.
{"title":"Fast and fine-grained counting and identification via constructive interference in WSNs","authors":"Dingming Wu, Chao Dong, Shaojie Tang, Haipeng Dai, Guihai Chen","doi":"10.1109/IPSN.2014.6846752","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846752","url":null,"abstract":"Counting and identifying neighboring active nodes are two fundamental operations in wireless sensor networks (WSNs). In this paper, we propose two mechanisms, Power based Counting (Poc) and Power based Identification (Poid), which achieve fast and accurate counting and identification by allowing neighbors to respond simultaneously to a poller. A key observation that motivates our design is that the power of a superposed signal increases with the number of component signals under the condition of constructive interference (CI). However, due to the phase offsets and various hardware limitations (e.g., ADC saturation), the increased superposed power exhibits dynamic and diminishing returns as the number of component signals increases. This uncertainty of phase offsets and diminishing returns property of the superposed power pose serious challenges to the design of both Poc and Poid. To overcome these challenges, we design delay compensation methods to reduce the phase offset of each component signal, and propose a novel probabilistic estimation technique in cooperation with CI. We implement Poc and Poid on a testbed of 1 USRP and 50 TelosB nodes, the experimental results show that the accuracy of Poc is above 97.9%, and the accuracy of Poid is above 96.5% for most cases. In addition to their high accuracy, our methods demonstrate significant advantages over the state-of-the-art solutions in terms of substantially lower energy consumption and estimation delay.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124528846","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846794
Jo-Ping Li, Shin-Yi Chang, P. Chou
Greendicator is an indicator system that enables embedded systems to output text to camera-equipped smart-phones by blinking an LED. The transmitter emits modulated light pulses using an existing visible-light LED or an IR diode, laser, or light reflector. The receiver uses a camera-equipped smartphone to sense the light pulses and GPU to decode the original message. We demonstrate its use in supporting existing RF-based networks and an aid for pairing and configuration of wireless systems while occupying only a small memory footprint.
{"title":"Demonstration abstract: Enabling WSN nodes to send data to smartmobiles by blinking LEDs","authors":"Jo-Ping Li, Shin-Yi Chang, P. Chou","doi":"10.1109/IPSN.2014.6846794","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846794","url":null,"abstract":"Greendicator is an indicator system that enables embedded systems to output text to camera-equipped smart-phones by blinking an LED. The transmitter emits modulated light pulses using an existing visible-light LED or an IR diode, laser, or light reflector. The receiver uses a camera-equipped smartphone to sense the light pulses and GPU to decode the original message. We demonstrate its use in supporting existing RF-based networks and an aid for pairing and configuration of wireless systems while occupying only a small memory footprint.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134031454","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846796
N. Rajagopal, Patrick Lazik, Anthony G. Rowe
We demonstrate a Visual Light Communication (VLC) system [1] that enables LED lighting luminaires to communicate with cameras on mobile devices. Each LED pulses at a frequency above the humanly perceivable flicker threshold where cameras and photodiodes can still detect changes in light intensity. Our modulation scheme supports multiple light sources in a single collision domain, and works for both, line-of-sight (LOS) operation as well as from reflected surfaces like those found in architectural lighting. The spatial confinement of light makes this system ideal for use as localization landmarks. Our demonstration includes four LED ambient lights acting as location landmarks transmitting modulated data. A mobile device receiving and processing the signal displays the ID and RSSI of the closest landmark. Interacting with the system will allow users to see the practical effects of multiple-access, frequency of operation, distance from the lights, camera parameters and camera motion.
{"title":"Demonstration abstract: How many lights do you see?","authors":"N. Rajagopal, Patrick Lazik, Anthony G. Rowe","doi":"10.1109/IPSN.2014.6846796","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846796","url":null,"abstract":"We demonstrate a Visual Light Communication (VLC) system [1] that enables LED lighting luminaires to communicate with cameras on mobile devices. Each LED pulses at a frequency above the humanly perceivable flicker threshold where cameras and photodiodes can still detect changes in light intensity. Our modulation scheme supports multiple light sources in a single collision domain, and works for both, line-of-sight (LOS) operation as well as from reflected surfaces like those found in architectural lighting. The spatial confinement of light makes this system ideal for use as localization landmarks. Our demonstration includes four LED ambient lights acting as location landmarks transmitting modulated data. A mobile device receiving and processing the signal displays the ID and RSSI of the closest landmark. Interacting with the system will allow users to see the practical effects of multiple-access, frequency of operation, distance from the lights, camera parameters and camera motion.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115971188","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846772
Vikram Gupta, Nuno Pereira, E. Tovar, R. Rajkumar
Several concurrent applications running on a sensor network may cause a node to transmit packets at distinct periods, which increases the radio-switching rate and has significant impact in terms of the overall energy consumption. We propose to batch the transmissions together by defining a harmonizing period to align the transmissions from multiple applications at periodic boundaries. This harmonizing period is then leveraged to design a distributed protocol called Network-Harmonized Scheduling (NHS) that coordinates transmissions across nodes and provides real-time guarantees in a multi-hop network.
{"title":"Poster abstract: A harmony of sensors: Achieving determinism in multi-application sensor networks","authors":"Vikram Gupta, Nuno Pereira, E. Tovar, R. Rajkumar","doi":"10.1109/IPSN.2014.6846772","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846772","url":null,"abstract":"Several concurrent applications running on a sensor network may cause a node to transmit packets at distinct periods, which increases the radio-switching rate and has significant impact in terms of the overall energy consumption. We propose to batch the transmissions together by defining a harmonizing period to align the transmissions from multiple applications at periodic boundaries. This harmonizing period is then leveraged to design a distributed protocol called Network-Harmonized Scheduling (NHS) that coordinates transmissions across nodes and provides real-time guarantees in a multi-hop network.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126148113","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}
Pub Date : 2014-04-15DOI: 10.1109/IPSN.2014.6846737
Yu Wang, R. Tan, G. Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang
Monitoring aquatic debris is of great interest to the ecosystems, marine life, human health, and water transport. This paper presents the design and implementation of SOAR - a vision-based surveillance robot system that integrates an off-the-shelf Android smartphone and a gliding robotic fish for debris monitoring. SOAR features real-time debris detection and coverage-based rotation scheduling algorithms. The image processing algorithms for debris detection are specifically designed to address the unique challenges in aquatic environments. The rotation scheduling algorithm provides effective coverage of sporadic debris arrivals despite camera's limited angular view. Moreover, SOAR is able to dynamically offload computation-intensive processing tasks to the cloud for battery power conservation. We have implemented a SOAR prototype and conducted extensive experimental evaluation. The results show that SOAR can accurately detect debris in the presence of various environment and system dynamics, and the rotation scheduling algorithm enables SOAR to capture debris arrivals with reduced energy consumption.
{"title":"Aquatic debris monitoring using smartphone-based robotic sensors","authors":"Yu Wang, R. Tan, G. Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang","doi":"10.1109/IPSN.2014.6846737","DOIUrl":"https://doi.org/10.1109/IPSN.2014.6846737","url":null,"abstract":"Monitoring aquatic debris is of great interest to the ecosystems, marine life, human health, and water transport. This paper presents the design and implementation of SOAR - a vision-based surveillance robot system that integrates an off-the-shelf Android smartphone and a gliding robotic fish for debris monitoring. SOAR features real-time debris detection and coverage-based rotation scheduling algorithms. The image processing algorithms for debris detection are specifically designed to address the unique challenges in aquatic environments. The rotation scheduling algorithm provides effective coverage of sporadic debris arrivals despite camera's limited angular view. Moreover, SOAR is able to dynamically offload computation-intensive processing tasks to the cloud for battery power conservation. We have implemented a SOAR prototype and conducted extensive experimental evaluation. The results show that SOAR can accurately detect debris in the presence of various environment and system dynamics, and the rotation scheduling algorithm enables SOAR to capture debris arrivals with reduced energy consumption.","PeriodicalId":297218,"journal":{"name":"IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125711274","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}
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