Abstract
While wearable devices are equipped with small battery, the amount of data that they send and receive has already exceeded the capacity of the energy efficient link technologies (e.g., Bluetooth Low Energy). Existing higher capacity link (e.g., Bluetooth Classic, WiFi) however requires high connection setup cost. To deal with this dilemma, we propose to bundle multiple data transmission requests and send the aggregated data at once to reduce energy consumption for link setup. Where the concept of bundling has been widely used for cloud storage services, existing schemes do not consider energy efficiency. In this paper, we present three bundling algorithms that try to balance the reduction of energy consumption and the extension of delivery delay by adapting to the current data request pattern. We perform extensive evaluation by using the realistic parameters that are obtained via experimental measurements by using a latest commercial smart watch.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 40th Annual IEEE Conference on Local Computer Networks, LCN 2015 |
| Editors | Salil Kanhere, Jens Tolle, Soumaya Cherkaoui |
| Publisher | IEEE Computer Society |
| Pages | 321-328 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781467367707 |
| DOIs | |
| Publication status | Published - 2015 Dec 24 |
| Event | 2015 IEEE 40th Conference on Local Computer Networks, LCN 2015 - Clearwater Beach, United States Duration: 2015 Oct 26 → 2015 Oct 29 |
Publication series
| Name | Proceedings - Conference on Local Computer Networks, LCN |
|---|---|
| Volume | 26-29-October-2015 |
Other
| Other | 2015 IEEE 40th Conference on Local Computer Networks, LCN 2015 |
|---|---|
| Country | United States |
| City | Clearwater Beach |
| Period | 15/10/26 → 15/10/29 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Hardware and Architecture
Cite this
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Data bundling for energy efficient communication of wearable devices. / Sung, Jung Woong; Han, Seung Jae.
Proceedings of the 40th Annual IEEE Conference on Local Computer Networks, LCN 2015. ed. / Salil Kanhere; Jens Tolle; Soumaya Cherkaoui. IEEE Computer Society, 2015. p. 321-328 7366326 (Proceedings - Conference on Local Computer Networks, LCN; Vol. 26-29-October-2015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Data bundling for energy efficient communication of wearable devices
AU - Sung, Jung Woong
AU - Han, Seung Jae
PY - 2015/12/24
Y1 - 2015/12/24
N2 - While wearable devices are equipped with small battery, the amount of data that they send and receive has already exceeded the capacity of the energy efficient link technologies (e.g., Bluetooth Low Energy). Existing higher capacity link (e.g., Bluetooth Classic, WiFi) however requires high connection setup cost. To deal with this dilemma, we propose to bundle multiple data transmission requests and send the aggregated data at once to reduce energy consumption for link setup. Where the concept of bundling has been widely used for cloud storage services, existing schemes do not consider energy efficiency. In this paper, we present three bundling algorithms that try to balance the reduction of energy consumption and the extension of delivery delay by adapting to the current data request pattern. We perform extensive evaluation by using the realistic parameters that are obtained via experimental measurements by using a latest commercial smart watch.
AB - While wearable devices are equipped with small battery, the amount of data that they send and receive has already exceeded the capacity of the energy efficient link technologies (e.g., Bluetooth Low Energy). Existing higher capacity link (e.g., Bluetooth Classic, WiFi) however requires high connection setup cost. To deal with this dilemma, we propose to bundle multiple data transmission requests and send the aggregated data at once to reduce energy consumption for link setup. Where the concept of bundling has been widely used for cloud storage services, existing schemes do not consider energy efficiency. In this paper, we present three bundling algorithms that try to balance the reduction of energy consumption and the extension of delivery delay by adapting to the current data request pattern. We perform extensive evaluation by using the realistic parameters that are obtained via experimental measurements by using a latest commercial smart watch.
UR - http://www.scopus.com/inward/record.url?scp=84973880185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84973880185&partnerID=8YFLogxK
U2 - 10.1109/LCN.2015.7366326
DO - 10.1109/LCN.2015.7366326
M3 - Conference contribution
AN - SCOPUS:84973880185
T3 - Proceedings - Conference on Local Computer Networks, LCN
SP - 321
EP - 328
BT - Proceedings of the 40th Annual IEEE Conference on Local Computer Networks, LCN 2015
A2 - Kanhere, Salil
A2 - Tolle, Jens
A2 - Cherkaoui, Soumaya
PB - IEEE Computer Society
ER -