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Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things

Research output: Contribution to journalJournal article

Published

Standard

Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things. / Yao, Yuhui; Sun, Yan; Phillips, Chris; Cao, Yue; Li, Jichun.

In: IEEE Internet of Things Journal, Vol. 6, No. 4, 01.08.2019, p. 6593 - 6605.

Research output: Contribution to journalJournal article

Harvard

Yao, Y, Sun, Y, Phillips, C, Cao, Y & Li, J 2019, 'Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things', IEEE Internet of Things Journal, vol. 6, no. 4, pp. 6593 - 6605. https://doi.org/10.1109/JIOT.2019.2908892

APA

Yao, Y., Sun, Y., Phillips, C., Cao, Y., & Li, J. (2019). Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things. IEEE Internet of Things Journal, 6(4), 6593 - 6605. https://doi.org/10.1109/JIOT.2019.2908892

Vancouver

Yao Y, Sun Y, Phillips C, Cao Y, Li J. Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things. IEEE Internet of Things Journal. 2019 Aug 1;6(4):6593 - 6605. https://doi.org/10.1109/JIOT.2019.2908892

Author

Yao, Yuhui ; Sun, Yan ; Phillips, Chris ; Cao, Yue ; Li, Jichun. / Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things. In: IEEE Internet of Things Journal. 2019 ; Vol. 6, No. 4. pp. 6593 - 6605.

Bibtex

@article{39b3e760d1e14bbd8443da75f99a9ce5,
title = "Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things",
abstract = "Further accelerated by the Internet of Things (IoT) concept, various devices are being continuously introduced into diverse application scenarios. To achieve unattended updates of IoT smart object(s), there remains a challenging problemconcerning how to efficiently deliver messages to specific groups of target nodes, especially considering node mobility. In this paper, the relay selection problem is investigated on the basis of directional movement with randomness (e.g. typically associated with the searching or migrating behaviour of animals). Unlike numerous works tackling one-to-one communication, we focus on efficient group delivery (one-to-many). A two-level delay budget model is considered to reflect the flexibility of delay tolerance, which brings potential efficiency gains for group delivery compared with using a single budget boundary. Following the description of the system model, a combinatorial bi-objective optimisation problem is formulated and solutions are proposed.Simulation results show that the greedy algorithm can achieve comparable performance to an evolutionary algorithm when the delivery satisfaction outweighs efficiency. Furthermore, we show that our proposed greedy scheme can outperform the state-of-theart when the delivery efficiency becomes increasingly important.",
author = "Yuhui Yao and Yan Sun and Chris Phillips and Yue Cao and Jichun Li",
note = "{\circledC}2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2019",
month = "8",
day = "1",
doi = "10.1109/JIOT.2019.2908892",
language = "English",
volume = "6",
pages = "6593 -- 6605",
journal = "IEEE Internet of Things Journal",
issn = "2327-4662",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "4",

}

RIS

TY - JOUR

T1 - Exploiting Delay Budget Flexibility for Efficient Group Delivery in the Internet of Things

AU - Yao, Yuhui

AU - Sun, Yan

AU - Phillips, Chris

AU - Cao, Yue

AU - Li, Jichun

N1 - ©2019 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Further accelerated by the Internet of Things (IoT) concept, various devices are being continuously introduced into diverse application scenarios. To achieve unattended updates of IoT smart object(s), there remains a challenging problemconcerning how to efficiently deliver messages to specific groups of target nodes, especially considering node mobility. In this paper, the relay selection problem is investigated on the basis of directional movement with randomness (e.g. typically associated with the searching or migrating behaviour of animals). Unlike numerous works tackling one-to-one communication, we focus on efficient group delivery (one-to-many). A two-level delay budget model is considered to reflect the flexibility of delay tolerance, which brings potential efficiency gains for group delivery compared with using a single budget boundary. Following the description of the system model, a combinatorial bi-objective optimisation problem is formulated and solutions are proposed.Simulation results show that the greedy algorithm can achieve comparable performance to an evolutionary algorithm when the delivery satisfaction outweighs efficiency. Furthermore, we show that our proposed greedy scheme can outperform the state-of-theart when the delivery efficiency becomes increasingly important.

AB - Further accelerated by the Internet of Things (IoT) concept, various devices are being continuously introduced into diverse application scenarios. To achieve unattended updates of IoT smart object(s), there remains a challenging problemconcerning how to efficiently deliver messages to specific groups of target nodes, especially considering node mobility. In this paper, the relay selection problem is investigated on the basis of directional movement with randomness (e.g. typically associated with the searching or migrating behaviour of animals). Unlike numerous works tackling one-to-one communication, we focus on efficient group delivery (one-to-many). A two-level delay budget model is considered to reflect the flexibility of delay tolerance, which brings potential efficiency gains for group delivery compared with using a single budget boundary. Following the description of the system model, a combinatorial bi-objective optimisation problem is formulated and solutions are proposed.Simulation results show that the greedy algorithm can achieve comparable performance to an evolutionary algorithm when the delivery satisfaction outweighs efficiency. Furthermore, we show that our proposed greedy scheme can outperform the state-of-theart when the delivery efficiency becomes increasingly important.

U2 - 10.1109/JIOT.2019.2908892

DO - 10.1109/JIOT.2019.2908892

M3 - Journal article

VL - 6

SP - 6593

EP - 6605

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

SN - 2327-4662

IS - 4

ER -