25
Views
0
CrossRef citations to date
0
Altmetric
Research Article

TEE-AODV Trust-based Route Selection and Improving Energy Efficiency in MANET

, , &
Published online: 31 Mar 2024
 

Abstract

Mobile ad hoc networks (MANETs) are the future communication infrastructure for all devices that operate without the elaborate design found in wired infrastructure networks. Constructing a routing protocol that helps MANETs to achieve (QoS). It is quite challenging to achieve energy-efficient routing, due to its limited resources and node mobility concerns, which would impact node resource stability and lead to congestion and lower user QoS. A novel Trustworthy Energy Efficient AODV protocol has been proposed for improving path selection and locating trusted stations to maximize QoS. This approach employs location data, transmission speed, and directions to estimate the energy usage and trustworthiness of distinct nodes. The proposed TEE-AODV protocol includes two new control information namely Trust Request packet and Trust Reply. (T-RREP) AODV's packet includes a neighbor list and channel trustworthiness. The number of working neighbors in every path is counted, and this information is used to efficiently choose paths. The TEE-AODV calculates a QoS supporting metric for each detected route to identify a traffic-free path at any moment and determines whether it is a trusted route. The NS-2 simulator has been used to assess the suggested approach in terms of specific characteristics, including energy consumption (EC), (PDR), end-to-end delay (), and number of dead nodes. According to the experimental results, the suggested framework enhances reliable route selection while lowering e nd-to-end latency and improving energy efficiency. The experimental findings indicate that the suggested TEE-AODV protocol achieves high energy efficiency rate in the selection of trustworthy route and minimizing the ED.

ACKNOWLEDGMENT

The authors would like to thank the reviewers for all of their careful, constructive and insightful comments in relation to this work.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

M. Udhayamoorthi

M Udhayamoorthi has bachelor degree in information technology, master degree in mainframe technology from Anna University and doctorate in computer science and engineering from Karpagam Academy of Higher Education. He has 15+ years of experience in teaching and 7 Years in research and currently working as associate professor in the Department of Computer Science and Design at Karpagam College of Engineering (Autonomous), Coimbatore. His area of interest includes network security, MANET, wireless sensor networks and artificial intelligence. Added to his academic credit, having 40+ paper publications in International Journals (UGC, Scopus and, SCI), 6 Patents, 2 book publications, Editorial Board member for 5 reputed international journals and 3 Faculty awards.

S. Pradeep

S Pradeep completed his Btech degree in the year 2009 at Pondicherry University, master degree in Anna University at 2011 and PhD in Annamalai University in the year 2020. Currently he is working as an assistant professor in SNS College of Technology, Coimbatore, having 11 years' experience in teaching. Published more than 11 international journals and received funds from Government organization. His research interests include in the wireless communication and networks field and signal processing. Email: [email protected]

Kalimuthu Marimuthu

Kalimuthu Marimuthu is currently working as an associate professor in Department of CSE, GITAM University, Bengaluru, Karnataka. He obtained his PhD from Anna University in 2017. He also obtained his master of technology in IT. He has many publications in reputed international journals and conferences. His areas of interests are data mining, data analytics, and AI. The author has more than 18 years of teaching experience an 12 years of research experience. Email: [email protected]

A. Karthikeyan

A Karthikeyan, associate professor in the Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India, since July 2012. Completed his undergraduate Btech degree in electronics and communication engineering at Bharathiyar College of Engineering and Technology, Karaikal, affiliated to Pondicherry University, Pondicherry in the year 2008 and postgraduate ME degree in VLSI design in the year 2012 from SNS College of Technology, Coimbatore, affiliated to Anna University, Chennai. Completed his PhD in the area of wireless sensor networks from Anna University, Chennai. He has a rich academic knowledge and teaching experience of more than 10 years also 2 years of Industry experience. Area of interest includes wireless sensor networks, VLSI design technique, computer networking and renewable energy. Published more than 30 international and national journals and 15 papers presented in international conferences. He is the peer reviewer of Springer, Elsevier, ACM and Inter science publisher. He is a lifemember of IEEE Collabratec Membership, International Society for Research and Development (MISRD), International Association of Engineers and International Association of Computer Science and Information Technology. Received 2+ lakh grants from DST NIMAT and Anna University for various technical events. Email: [email protected]

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.