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Secure Routing in Mobile Ad Hoc Networks with Hybrid Tasmanian Gazelle Optimization (Record no. 133167)

MARC details
000 -LEADER
fixed length control field 02350nam a2200145 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 251101b |||||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name M. Vijay Anand
245 ## - TITLE STATEMENT
Title Secure Routing in Mobile Ad Hoc Networks with Hybrid Tasmanian Gazelle Optimization
300 ## - PHYSICAL DESCRIPTION
Extent p1560-1571
520 ## - SUMMARY, ETC.
Summary, etc. biblio.abstract In dynamic wireless networks like Mobile Ad Hoc Networks (MANETs), where nodes communicate without a fixed infrastructure, ensuring secure and efficient communication is crucial due to inherent vulnerabilities such as malicious attacks and energy constraints. To address this issue, this study introduces a novel approach that combines Tasmanian Devil Optimization (TDO) and Gazelle Optimization Algorithm (GOA), termed Hybrid Tasmanian Gazelle Optimization (HTGO). This approach is designed to enhance energy-efficient routing and secure communication in MANETs. The HTGO method combines the strengths of local exploration from the TDO and global exploitation from the GOA which increases the overall performance in cluster head selection. The system optimizes routing paths by considering various factors such as energy consumption, communication cost, trust, and network load. Additionally, the study integrates fuzzy logic-based trust evaluation to increase security by detecting malicious nodes during data transmission. The system is implemented and tested on a simulation platform, with performance evaluated using key metrics such as Packet Delivery Ratio (PDR), energy consumption, network lifespan, delay, Packet Loss Ratio (PLR), and detection rate of malicious nodes. Experimental results show that HTGO outperforms existing methods by achieving longer network lifetime, higher PDR, lower energy consumption, and a reduced delay. It also demonstrates superior security with a detection rate of 93% for malicious nodes, highlighting its effectiveness in both energy optimization and secure communication in MANETs. This study contributes to more secure and energy-efficient routing in MANETs, which provides an ideal solution for dynamic and vulnerable wireless network environments.
654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS
Subject <a href="Energy-efficient routing">Energy-efficient routing</a>
-- <a href="Fuzzy logic">Fuzzy logic</a>
-- <a href="Gazelle optimization algorithm">Gazelle optimization algorithm</a>
-- <a href="Mobile ad hoc networks">Mobile ad hoc networks</a>
-- <a href="Tasmanian devil optimization">Tasmanian devil optimization</a>
773 0# - HOST ITEM ENTRY
Host Biblionumber 80269
Host Itemnumber 114212
Place, publisher, and date of publication New Delhi IETE
Title IETE Journal of Research
International Standard Serial Number 0377-2063
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Location (home branch) Sublocation or collection (holding branch) Date acquired Koha issues (times borrowed) Piece designation (barcode) Koha date last seen Price effective from Koha item type
    Dewey Decimal Classification     SNDT Juhu SNDT Juhu 01/11/2025   JP976.8 01/11/2025 01/11/2025 Journal Article