research-article

To Transmit or Not to Transmit: Controlling Communications in the Mobile IoT Domain

Authors:

C. Anagnostopoulos,

A. Chalvatzaras,

S. HadjiefthymiadesAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 20, Issue 3

Article No.: 22, Pages 1 - 23

https://doi.org/10.1145/3369389

Published: 12 August 2020 Publication History

Abstract

The Mobile IoT domain has been significantly expanded with the proliferation of drones and unmanned robotic devices. In this new landscape, the communication between the resource-constrained device and the fixed infrastructure is similarly expanded to include new messages of varying importance, control, and monitoring. To efficiently and effectively control the exchange of such messages subject to the stochastic nature of the underlying wireless network, we design a time-optimized, dynamic, and distributed decision-making mechanism based on the principles of the Optimal Stopping and Change Detection theories. The findings from our experimentation platform are promising and solidly supportive to a vast spectrum of real-time and latency-sensitive applications with quality-of-service requirements in mobile IoT environments.

References

[1]

Ibrahim Ahmed I. Alghamdi, Christos Anagnostopoulos, and Dimitrios P. Pezaros. 2019. On the optimality of task offloading in mobile edge computing environments. In IEEE Global Communications Conference 2019. Hawaii.

[2]

C. Anagnostopoulos and S. Hadjefthymiades. 2011. Delay-tolerant delivery quality information in ad hoc networks. J. Parallel Distrib. Comput. 71(7) (2011), 974--987.

[3]

C. Anagnostopoulos and S. Hadjefthymiades. 2012. Optimal quality-aware scheduling of data consumption in mobile ad hoc networks. J. Parallel Distrib. Comput. 72(10) (Oct. 2012), 1269--1279.

[4]

C. Anagnostopoulos and S. Hadjiefthymiades. 2014. Advanced principal component-based compression schemes for wireless sensor networks. ACM Trans. Sen. Netw. 11, 1, Article 7 (July 2014), 34 pages.

Digital Library

[5]

ArduPilot Open Source Autopilot. Retrieved June 29, 2019 from http://ardupilot.org/.

[6]

Neil Bearden. 2006. A new secretary problem with rank-based selection and cardinal payoffs. J. Math. Psychol. 50 (02 2006), 58--59.

[7]

Carlos Borrego, Gerard Garcia-Vandellós, and Sergi Robles. 2017. Softwarecast: A code-based delivery manycast scheme in heterogeneous and opportunistic ad hoc networks. Ad Hoc Networks 55 (2017), 72--86.

Digital Library

[8]

Carlos Borrego Iglesias, Joan Borrell, and S. Robles. 2019. Efficient broadcast in opportunistic networks using optimal stopping theory. Ad Hoc Networks 88 (05 2019).

[9]

Carlos Borrego Iglesias, Joan Borrell, and S. Robles. 2019. Hey, influencer! Message delivery to social central nodes in social opportunistic networks. Comput. Commun. 137 (02 2019).

[10]

Carlos Borrego Iglesias, Adrián Sánchez-Carmona, Zhiyuan Li, and S Robles. 2017. Explore and wait: A composite routing-delivery scheme for relative profile-casting in opportunistic networks. Comput. Networks 123 (05 2017).

[11]

Y. Cao and Z. Sun. 2003. Position based routing algorithms for ad hoc networks: A taxonomy. Ad Hoc Wireless Networking, Kluwer (2003).

[12]

A. Dhekne, M. Gowda, R. R. Choudhury, and S. Nelakuditi. 2018. If WiFi APs could move: A measurement study. IEEE Transactions on Mobile Computing 17, 10 (Oct. 2018), 2293--2306.

[13]

Thomas S. Ferguson. Accessed May 2015. Optimal Stopping and Applications. Mathematics Department, UCLA. https://www.math.ucla.edu/∼tom/Stopping/Contents.html.

[14]

F. Fu and M. van der Schaar. 2010. Dependant optimal stopping framework for wireless multimedia transmission. In Accoustics Speech and Signal Processing (ICASSP). IEEE, 1--6.

[15]

Ai-Chun Pang Hao-Min Lin, Yu Ge and J. S. Pathmasuntharam. 2010. Performance study on delay tolerant networks in maritime communication environments. In OCEANS 2010 IEEE-Sydney.

[16]

V. V. Veeravalli J. Unnikrishnan and S. Meyn. 2009. Least favorable distributions for robust quickest change detection. In 2009 IEEE International Symposium on Information Theory, IEEE.

[17]

Kostas Kolomvatsos, Michael Tsiroukis, and Stathes Hadjiefthymiades. 2017. An experiment description language for supporting mobile IoT applications. In Building the Future Internet through FIRE, Martin Serrano, Niklaos Isaris, Hans Schaffers, John Domingue, Michael Boniface, and Thanasis Korakis (Eds.). River Publishers, Gistrup, Denmark, 461--460. http://eprints.gla.ac.uk/163502/.

[18]

C. Konstantopoulos, G. Pantziou, D. Gavalas, A. Mpitziopoulos, and B. Mamalis. 2012. A Rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks. IEEE Transactions on Parallel and Distributed Systems 23, 5 (May 2012), 809--817.

Digital Library

[19]

S. Mao-Y. Xiao I. Chlamtac M. Chen, V. Leung. 2009. Hybrid geographical routing for flexible energy-delay trade-offs. IEEE Trans. Veh. Technol 58, 9 (2009), 4976--4988.

[20]

A. B. McDonald. 1997. Survey of adaptive shortest-path routing in dynamic packet-switched networks. Technical Report at the Dept of Information Science and Telecommunications (April 1997).

[21]

G. V. Moustakides. 1986. Optimal stopping time for detecting changes in distributions. Ann. Statist. 14, 4 (1986), 1379--1387.

[22]

E. S. Page. 1954. Continuous inspection schemes. Biometrica 41 (1954), 100--115.

[23]

E. S. Page. 1971. Procedures for reacting to a change in distribution. Ann. Math. Statist. 42, 6 (1971), 1897--1908.

[24]

K. Panagidi, C. Anagnostopoulos, and S. Hadjiefthymiades. 2017. Optimal grouping-of-pictures in IoT video streams. Computer Communications—In press (2017).

[25]

K. Panagidi, I. Galanis, C. Anagnostopoulos, and S. Hadjiefthymiades. 2018. Time-optimized contextual information flow on unmanned vehicles. In 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). 185--191.

[26]

L. Blazevic S. Giordano, I. Stojmenovic. 2013. Routing in delay/disruption tolerant networks: A taxonomy, survey and challenges. IEEE Communications Surveys and Tutorials 15, 2 (2013), 654--677.

[27]

Rviz ROS Software. Retrieved June 29, 2019 from http://wiki.ros.org/rviz.

[28]

Robot Operating System. Retrieved June 29, 2019 from https://www.ros.org/.

[29]

Y. Wang, W. Peng, and Y. Tseng. 2010. Energy-balanced dispatch of mobile sensors in a hybrid wireless sensor network. IEEE Transactions on Parallel and Distributed Systems 21, 12 (Dec. 2010), 1836--1850.

Digital Library

Cited By

Aladwani TAnagnostopoulos CKolomvatsos K(2024)Node and relevant data selection in distributed predictive analytics: A query-centric approachJournal of Network and Computer Applications10.1016/j.jnca.2024.104029232(104029)Online publication date: Dec-2024
https://doi.org/10.1016/j.jnca.2024.104029
Chua CNiederman F(2023)Situational Factor Determinants of the Allocation of Decision Rights to Edge ComputersACM Transactions on Management Information Systems10.1145/358208114:3(1-24)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3582081
Islam MNooruddin SKarray FMuhammad G(2023)Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare DomainIEEE Internet of Things Journal10.1109/JIOT.2022.322879510:4(3611-3641)Online publication date: 15-Feb-2023
https://doi.org/10.1109/JIOT.2022.3228795
Show More Cited By

Index Terms

To Transmit or Not to Transmit: Controlling Communications in the Mobile IoT Domain
1. Computer systems organization
  1. Dependable and fault-tolerant systems and networks
    1. Redundancy
  2. Embedded and cyber-physical systems
    1. Embedded systems
    2. Robotics
2. Networks
  1. Network properties
    1. Network reliability

Recommendations

A Blockchain-Based Mobile IOT Network Interconnection Security Trusted Protocol Model
Cyberspace Safety and Security
Abstract
With the continuous development of information technology and internet of things, technology of the mobile Internet of Things (mobile IOT) has been widely used in medical and health, smart home, transportation, logistics and other industries. At ...
Internet of Things Business Models: The RAWFIE Case
Digital Transformation for a Sustainable Society in the 21st Century
Abstract
Internet of Things (IoT) encompasses a wide range of devices and technologies which cumulatively shape a new environment with unprecedented business prospects. This paper aims to investigate the business potential of IoT, focusing on mobile IoT ...
A novel Sybil attack detection scheme in mobile IoT based on collaborate edge computing
AbstractBackground
Internet of things (IoT) has been used in many places. IoT make devices connected to the Internet via sensor devices to achieve the interconnection between things and things, people and things. Sybil attacker attacks IoT by imitating the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 20, Issue 3

SI: Evolution of IoT Networking Architectures papers

August 2020

259 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3408328

Editor:
Ling Liu
Georgia Institute of Technology, USA

Issue’s Table of Contents

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 August 2020

Accepted: 01 October 2019

Revised: 01 October 2019

Received: 01 July 2019

Published in TOIT Volume 20, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed

Funding Sources

RAWFIE (Road‐, Air‐, and Water-based Future Internet Experimentation)
European Union’s Horizon 2020 Framework Programme for Research and Innovation

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
157
Total Downloads

Downloads (Last 12 months)13
Downloads (Last 6 weeks)0

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Aladwani TAnagnostopoulos CKolomvatsos K(2024)Node and relevant data selection in distributed predictive analytics: A query-centric approachJournal of Network and Computer Applications10.1016/j.jnca.2024.104029232(104029)Online publication date: Dec-2024
https://doi.org/10.1016/j.jnca.2024.104029
Chua CNiederman F(2023)Situational Factor Determinants of the Allocation of Decision Rights to Edge ComputersACM Transactions on Management Information Systems10.1145/358208114:3(1-24)Online publication date: 23-Jun-2023
https://dl.acm.org/doi/10.1145/3582081
Islam MNooruddin SKarray FMuhammad G(2023)Internet of Things: Device Capabilities, Architectures, Protocols, and Smart Applications in Healthcare DomainIEEE Internet of Things Journal10.1109/JIOT.2022.322879510:4(3611-3641)Online publication date: 15-Feb-2023
https://doi.org/10.1109/JIOT.2022.3228795
Deebak BMemon FKhowaja SDev KWang WQureshi NSu C(2023)A Lightweight Blockchain-Based Remote Mutual Authentication for AI-Empowered IoT Sustainable Computing SystemsIEEE Internet of Things Journal10.1109/JIOT.2022.315254610:8(6652-6660)Online publication date: 15-Apr-2023
https://doi.org/10.1109/JIOT.2022.3152546

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Figures

Tables

Media

View Issue’s Table of Contents