SenseLE: Exploiting spatial locality in decentralized sensing environments

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Generally, smart devices, such as smartphones, smartwatches, or fitness trackers, communicate with each other indirectly, via cloud data centers. Sharing sensor data with a cloud data center as intermediary invokes transmission methods with high battery costs, such as 4G LTE or WiFi. By sharing sensor information locally and without intermediaries, we can use other transmission methods with low energy cost, such as Bluetooth or BLE. In this paper, we introduce Sense Low Energy (SenseLE), a decentralized sensing framework which exploits the spatial locality of nearby sensors to save energy in Internet-of-Things (IoT) environments. We demonstrate the usability of SenseLE by building a real-life application for estimating waiting times at queues. Furthermore, we evaluate the performance and resource utilization of our SenseLE Android implementation for different sensing scenarios. Our empirical evaluation shows that by exploiting spatial locality, SenseLE is able to reduce application response times (latency) by up to 74% and energy consumption by up to 56%.

LanguageEnglish
Title of host publicationProceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1356-1363
Number of pages8
ISBN (Electronic)9781538637906
DOIs
StatePublished - 25 May 2018
Event15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 - Guangzhou, China
Duration: 12 Dec 201715 Dec 2017

Conference

Conference15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
CountryChina
CityGuangzhou
Period12/12/1715/12/17

Fingerprint

Locality
Decentralized
Sensing
Sensors
Energy
Data Center
Smartphones
Bluetooth
Sensor
Costs
Sharing
Energy utilization
Internet of Things
Wi-Fi
Waiting Time
Battery
Usability
Response Time
Fitness
Energy Consumption

Keywords

  • Ad hoc data sharing
  • Android
  • Bluetooth Low Energy
  • Device to device communication
  • Distributed sensing
  • Energy efficiency
  • Internet of Things
  • Mobile computing

Cite this

Bozdog, N. V., Makkes, M. X., Uta, A., Bharath Das, R., Van Halteren, A., & Bal, H. (2018). SenseLE: Exploiting spatial locality in decentralized sensing environments. In Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 (pp. 1356-1363). Institute of Electrical and Electronics Engineers Inc.. DOI: 10.1109/ISPA/IUCC.2017.00206
Bozdog, Nicolae Vladimir ; Makkes, Marc X. ; Uta, Alexandru ; Bharath Das, Roshan ; Van Halteren, Aart ; Bal, Henri. / SenseLE : Exploiting spatial locality in decentralized sensing environments. Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1356-1363
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Bozdog, NV, Makkes, MX, Uta, A, Bharath Das, R, Van Halteren, A & Bal, H 2018, SenseLE: Exploiting spatial locality in decentralized sensing environments. in Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017. Institute of Electrical and Electronics Engineers Inc., pp. 1356-1363, 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12/12/17. DOI: 10.1109/ISPA/IUCC.2017.00206

SenseLE : Exploiting spatial locality in decentralized sensing environments. / Bozdog, Nicolae Vladimir; Makkes, Marc X.; Uta, Alexandru; Bharath Das, Roshan; Van Halteren, Aart; Bal, Henri.

Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1356-1363.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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N2 - Generally, smart devices, such as smartphones, smartwatches, or fitness trackers, communicate with each other indirectly, via cloud data centers. Sharing sensor data with a cloud data center as intermediary invokes transmission methods with high battery costs, such as 4G LTE or WiFi. By sharing sensor information locally and without intermediaries, we can use other transmission methods with low energy cost, such as Bluetooth or BLE. In this paper, we introduce Sense Low Energy (SenseLE), a decentralized sensing framework which exploits the spatial locality of nearby sensors to save energy in Internet-of-Things (IoT) environments. We demonstrate the usability of SenseLE by building a real-life application for estimating waiting times at queues. Furthermore, we evaluate the performance and resource utilization of our SenseLE Android implementation for different sensing scenarios. Our empirical evaluation shows that by exploiting spatial locality, SenseLE is able to reduce application response times (latency) by up to 74% and energy consumption by up to 56%.

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PB - Institute of Electrical and Electronics Engineers Inc.

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Bozdog NV, Makkes MX, Uta A, Bharath Das R, Van Halteren A, Bal H. SenseLE: Exploiting spatial locality in decentralized sensing environments. In Proceedings - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017. Institute of Electrical and Electronics Engineers Inc.2018. p. 1356-1363. Available from, DOI: 10.1109/ISPA/IUCC.2017.00206