Abstract
Ageing is becoming an increasingly major problem in European and Japanese societies. We have so far mainly focused on how to improve the eating experience for both frail elderly and caregivers by introducing and developing the eating aid robot, Bestic, made to get the food from plate to the mouth for frail elderly or person with disabilities. We expand the functionalities of Bestic to create food intake reports automatically so as to decrease the undernutrition among frail elderly and workload of caregivers through collecting data via a vision system connected to the Internet of Things (IoT) system. Since the computation capability of Bestic is very limited, computation offloading, in which resource intensive computational tasks are transferred from Bestic to an external cloud server, is proposed to solve Bestic’s resource limitation. In this paper, we proposed a Monte Carlo algorithm based heuristic computation offloading algorithm, to minimize the total overhead of all the Bestic users after we show that the target optimization problem is NP-hard in a theorem. Numeric results showed that the proposed algorithm is effective in terms of system-wide overhead.
| Original language | English |
|---|---|
| Title of host publication | Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings |
| Editors | Meikang Qiu |
| Publisher | Springer-Verlag |
| Pages | 163-171 |
| Number of pages | 9 |
| ISBN (Print) | 9783030057541 |
| DOIs | |
| Publication status | Published - 2018 Jan 1 |
| Event | 3rd International Conference on Smart Computing and Communications, SmartCom 2018 - Tokyo, Japan Duration: 2018 Dec 10 → 2018 Dec 12 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11344 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 3rd International Conference on Smart Computing and Communications, SmartCom 2018 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 18/12/10 → 18/12/12 |
Fingerprint
Keywords
- Computation offloading
- Eating robot
- IoT
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
Cite this
A Monte Carlo based computation offloading algorithm for feeding robot IoT system. / Zhang, Cheng; Ohashi, Takumi; Saijo, Miki; Solis, Jorge; Takeda, Yukio; Lindborg, Ann Louise; Takeda, Ryuta; Tanaka, Yoshiaki.
Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings. ed. / Meikang Qiu. Springer-Verlag, 2018. p. 163-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11344 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A Monte Carlo based computation offloading algorithm for feeding robot IoT system
AU - Zhang, Cheng
AU - Ohashi, Takumi
AU - Saijo, Miki
AU - Solis, Jorge
AU - Takeda, Yukio
AU - Lindborg, Ann Louise
AU - Takeda, Ryuta
AU - Tanaka, Yoshiaki
PY - 2018/1/1
Y1 - 2018/1/1
N2 - Ageing is becoming an increasingly major problem in European and Japanese societies. We have so far mainly focused on how to improve the eating experience for both frail elderly and caregivers by introducing and developing the eating aid robot, Bestic, made to get the food from plate to the mouth for frail elderly or person with disabilities. We expand the functionalities of Bestic to create food intake reports automatically so as to decrease the undernutrition among frail elderly and workload of caregivers through collecting data via a vision system connected to the Internet of Things (IoT) system. Since the computation capability of Bestic is very limited, computation offloading, in which resource intensive computational tasks are transferred from Bestic to an external cloud server, is proposed to solve Bestic’s resource limitation. In this paper, we proposed a Monte Carlo algorithm based heuristic computation offloading algorithm, to minimize the total overhead of all the Bestic users after we show that the target optimization problem is NP-hard in a theorem. Numeric results showed that the proposed algorithm is effective in terms of system-wide overhead.
AB - Ageing is becoming an increasingly major problem in European and Japanese societies. We have so far mainly focused on how to improve the eating experience for both frail elderly and caregivers by introducing and developing the eating aid robot, Bestic, made to get the food from plate to the mouth for frail elderly or person with disabilities. We expand the functionalities of Bestic to create food intake reports automatically so as to decrease the undernutrition among frail elderly and workload of caregivers through collecting data via a vision system connected to the Internet of Things (IoT) system. Since the computation capability of Bestic is very limited, computation offloading, in which resource intensive computational tasks are transferred from Bestic to an external cloud server, is proposed to solve Bestic’s resource limitation. In this paper, we proposed a Monte Carlo algorithm based heuristic computation offloading algorithm, to minimize the total overhead of all the Bestic users after we show that the target optimization problem is NP-hard in a theorem. Numeric results showed that the proposed algorithm is effective in terms of system-wide overhead.
KW - Computation offloading
KW - Eating robot
KW - IoT
UR - http://www.scopus.com/inward/record.url?scp=85058561419&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058561419&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-05755-8_17
DO - 10.1007/978-3-030-05755-8_17
M3 - Conference contribution
AN - SCOPUS:85058561419
SN - 9783030057541
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 163
EP - 171
BT - Smart Computing and Communication - 3rd International Conference, SmartCom 2018, Proceedings
A2 - Qiu, Meikang
PB - Springer-Verlag
ER -