Paper Info
Title
AFT: Adaptive Fibonacci-based Tuning Protocol for Service and Resource discovery in the Internet of Things
Abstract
This paper explores Adaptive Fibonacci-based Tuning Protocol for Service and Resource discovery in the Internet of Things (AFT). Through using constrained application protocol (CoAP), Internet of Things (IoT) can support Machines to Machines (M2M) communications. CoAP has centralized and distributed operation modes to discover resources. In the centralized mode, resource directory (RD) is used to maintain and host updated services description of each resource in the network. RD requires periodical updates by other nodes. However, regularly updates resulted in additional signaling overhead, drain the node's battery and reduce the overall network lifetime. Hence, the proposed AFT intelligently varies and adjusts the update frequency of the services using Fibonacci sequence. We evaluated the performance using an inclusive experiments' number performed by employing emulated Tmote Sky motes in the COOJA environment. The results prove that the proposed AFT protocol consistently accomplished the lowest control overhead that ultimately increased the energy saving of the resources. They also confirm that this AFT protocol outperforms its traditional counterpart by 75% regarding the overall network lifetime.
Year
DOI
Venue
2017
10.1109/FMEC.2017.7946427
2017 Second International Conference on Fog and Mobile Edge Computing (FMEC)
Keywords
Field
DocType
Internet of Things (IoT),Fibonacci sequence,Service Discovery (SD),Resource Discovery,Wireless Sensors,CoAP,Energy
Directory,Internet of Things,Computer network,Real-time computing,Power demand,Constrained Application Protocol,Engineering,Wireless sensor network,Mobile telephony,Fibonacci number
Conference
ISBN
Citations 
PageRank 
978-1-5386-2860-7
0
0.34
References 
Authors
14
3
Name
Order
Citations
PageRank
Firas AlBalas141.39
W. Mardini27218.10
Majd Al-Soud311.02