Skip to main content

Research Repository

Advanced Search

A Dynamic Power Tuning for the Constrained Application Protocol of Internet of Things

Qasem, Mamoun; Al-Dubai, Ahmed; Romdhani, Imed; Yassien, Muneer Bani

Authors

Mamoun Qasem

Muneer Bani Yassien



Contributors

IEEE Communication Society
Editor

IEEE Computer Society
Editor

Abstract

Constrained application protocol (CoAP) has been designed for M2M and IoT applications. The resource directory (RD) in CoAP requires periodical updates by other nodes. However, a regular update process causes extra signaling overhead and drains the node’s battery, which consequently reduces the battery lifetime of all nodes. Thus, there is a need to adjust the update interval to prolong the lifetime of the entire network. Although this problem has been investigated in the literature, it is still in its infancy as existing works do not consider the dynamic periodic adjustments of the update messages. To fill in this gap, this paper devise a new adaptive tuning approach between CoAP clients and their CoAP-RD to adjust the frequency of updates based on the battery level of the transmitting node. We evaluated our protocol using simulation experiments. The simulation results confirm that the adaptive tuning approach outperforms its traditional counterpart by 10 to 15% with respect to the overall network lifetime.

Presentation Conference Type Conference Paper (Published)
Conference Name 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
Start Date Oct 26, 2015
End Date Oct 28, 2015
Acceptance Date Oct 26, 2015
Online Publication Date Dec 28, 2015
Publication Date Dec 28, 2015
Deposit Date Oct 12, 2015
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Pages 1118-1122
Book Title 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing
ISBN 9781509001545
DOI https://doi.org/10.1109/cit/iucc/dasc/picom.2015.167
Keywords Batteries, Tuning, Protocols, Power demand, Standards, Wireless sensor networks, Energy consumption
Public URL http://researchrepository.napier.ac.uk/id/eprint/9136
Contract Date May 15, 2017