A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks

Abdol-Hamid Aghvami, Zhutian Yang, Shuyu Ping, Adnan Aijaz

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Advanced metering infrastructure (AMI) networks,
which are an integral component of the smart grid ecosystem, are
practically deployed as a static multihop wireless mesh network.
Recently, routing solutions for AMI networks have attracted a lot
of attention in the literature. On the other hand, it is expected that
the use of cognitive radio (CR) technology for AMI networks will
be indispensable in near future. This paper investigates a global
optimization-based routing protocol for enhancing quality of service
in CR-enabled AMI networks. In accordance with practical
requirements of smart grid applications, we propose a new
RPL-based routing protocol, termed as directional mutation ant
colony optimization-based cognitive RPL (DMACO-RPL), for CRenabled
AMI networks. This protocol utilizes a global optimization
algorithm to select the best route from the whole network. In addition,
DMACO-RPL explicitly protects primary (licensed) users
while meeting the utility requirements of the secondary network.
System-level simulations demonstrate that the proposed protocol
enhances the performance of existing RPL-based routing protocols
for CR-enabled AMI networks.
Original languageEnglish
Pages (from-to)1015
Number of pages1023
JournalIEEE Systems Journal
Issue number1
Publication statusPublished - Mar 2018


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