SenseLE: Exploiting spatial locality in decentralized sensing environments

Nicolae Vladimir Bozdog; Marc X. Makkes; Alexandru Uta; Roshan Bharath Das; Aart Van Halteren; Henri Bal

doi:10.1109/ISPA/IUCC.2017.00206

SenseLE: Exploiting spatial locality in decentralized sensing environments

Nicolae Vladimir Bozdog, Marc X. Makkes, Alexandru Uta, Roshan Bharath Das, Aart Van Halteren, Henri Bal

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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%.

Original language	English
Title of host publication	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
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1356-1363
Number of pages	8
ISBN (Electronic)	9781538637906
DOIs	https://doi.org/10.1109/ISPA/IUCC.2017.00206
Publication status	Published - 25 May 2018
Event	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 Duration: 12 Dec 2017 → 15 Dec 2017

Conference

Conference	15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017
Country/Territory	China
City	Guangzhou
Period	12/12/17 → 15/12/17

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/ISPA/IUCC.2017.00206

sensleFinal published version, 1.84 MBLicence: Article 25fa Dutch Copyright Act

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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.. https://doi.org/10.1109/ISPA/IUCC.2017.00206

Bozdog, Nicolae Vladimir ; Makkes, Marc X. ; Uta, Alexandru et al. / 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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title = "SenseLE: Exploiting spatial locality in decentralized sensing environments",

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%.",

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

author = "Bozdog, {Nicolae Vladimir} and Makkes, {Marc X.} and Alexandru Uta and {Bharath Das}, Roshan and {Van Halteren}, Aart and Henri Bal",

year = "2018",

month = may,

day = "25",

doi = "10.1109/ISPA/IUCC.2017.00206",

language = "English",

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booktitle = "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",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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note = "15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017 ; Conference date: 12-12-2017 Through 15-12-2017",

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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. https://doi.org/10.1109/ISPA/IUCC.2017.00206

SenseLE: Exploiting spatial locality in decentralized sensing environments. / Bozdog, Nicolae Vladimir; Makkes, Marc X.; Uta, Alexandru et al.
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 proceeding › Conference contribution › Academic › peer-review

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T2 - 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017

AU - Bozdog, Nicolae Vladimir

AU - Makkes, Marc X.

AU - Uta, Alexandru

AU - Bharath Das, Roshan

AU - Van Halteren, Aart

AU - Bal, Henri

PY - 2018/5/25

Y1 - 2018/5/25

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%.

AB - 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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KW - Internet of Things

KW - Mobile computing

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BT - 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

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 12 December 2017 through 15 December 2017

ER -

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 doi: 10.1109/ISPA/IUCC.2017.00206

SenseLE: Exploiting spatial locality in decentralized sensing environments

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Keywords

UN SDGs

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