Paper Info
Title
A Scalable Context-Aware Objective Function (SCAOF) of Routing Protocol for Agricultural Low-Power and Lossy Networks (RPAL)
Abstract
In recent years, IoT (Internet of Things) technologies have seen great advances, particularly, the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL), which provides a powerful and flexible routing framework that can be applied in a variety of application scenarios. In this context, as an important role of IoT, Wireless Sensor Networks (WSNs) can utilize RPL to design efficient routing protocols for a specific application to increase the ubiquity of networks with resource-constrained WSN nodes that are low-cost and easy to deploy. In this article, our work starts with the description of Agricultural Low-power and Lossy Networks (A-LLNs) complying with the LLN framework, and to clarify the requirements of this application-oriented routing solution. After a brief review of existing optimization techniques for RPL, our contribution is dedicated to a Scalable Context-Aware Objective Function (SCAOF) that can adapt RPL to the environmental monitoring of A-LLNs, through combining energy-aware, reliability-aware, robustness-aware and resource-aware contexts according to the composite routing metrics approach. The correct behavior of this enhanced RPL version (RPAL) was verified by performance evaluations on both simulation and field tests. The obtained experimental results confirm that SCAOF can deliver the desired advantages on network lifetime extension, and high reliability and efficiency in different simulation scenarios and hardware testbeds.
Year
DOI
Venue
2015
10.3390/s150819507
SENSORS
Keywords
Field
DocType
WSN,RPL routing protocol,6LoWPAN,protocol evaluation,Internet of Things
Mathematical optimization,Link-state routing protocol,Dynamic Source Routing,Enhanced Interior Gateway Routing Protocol,Wireless Routing Protocol,Engineering,Wireless sensor network,6LoWPAN,Routing protocol,Zone Routing Protocol
Journal
Volume
Issue
ISSN
15
8.0
1424-8220
Citations 
PageRank 
References 
8
0.53
39
Authors
5
Name
Order
Citations
PageRank
Yibo Chen118715.36
Jean-Pierre Chanet25810.83
Kun-Mean Hou3363.81
Hongling Shi4124.31
Gil De Sousa5152.82