@misc{10481/103748,
year = {2024},
month = {12},
url = {https://hdl.handle.net/10481/103748},
abstract = {Wireless Sensor Networks (WSNs) have evolved significantly over the past few decades, emerging as
an essential component for monitoring and controlling various applications, such as environmental
sensing, healthcare, and industrial automation. Traditionally, WSNs rely on static routing protocols that
do not adapt well to changes in network conditions, leading to issues such as congestion, energy
inefficiency, and poor overall network performance. These systems use a fixed routing path for data
transmission, often resulting in imbalanced load distribution across the network, reducing the lifetime
and performance of the sensors. The main drawback of traditional WSN systems is their inability to
handle dynamic changes in traffic or network conditions, such as node failures, energy depletion, or
environmental disruptions. This leads to inefficient routing, unnecessary data retransmissions, and
increased power consumption. Additionally, most conventional WSNs do not support scalability well,
making it difficult to maintain optimal performance as the network grows. Furthermore, traditional
routing methods often rely on a single path, increasing the risk of data loss if the path becomes
unavailable or congested. The problem addressed by this system is the need for a more adaptable and
efficient routing mechanism that can handle dynamic changes in the network while ensuring load
balancing and fault tolerance. The motivation behind this research is to improve the reliability, energy
efficiency, and scalability of WSNs, particularly in the context of large-scale networks where traditional
methods fail to perform effectively. The proposed system aims to integrate Software-Defined
Networking (SDN) with WSNs to enable dynamic load balancing and multipath routing. SDN allows
for centralized control and real-time adaptation of routing paths, offering improved flexibility, better
traffic management, and enhanced fault tolerance. By dynamically adjusting routes and balancing the
load across the network, this system seeks to overcome the limitations of traditional approaches and
ensure optimal performance in various WSN applications.},
publisher = {Universidad de Granada},
keywords = {Wireless sensor network},
keywords = {Healthcare},
keywords = {Static Routing Protocols},
keywords = {WSN},
keywords = {Software-Defined Networking},
title = {A Robust and Secure Framework for Enhancing IoT Network Security to Combat Wormhole Attacks},
author = {Latike, Lakshmi Surya and Vani, M. and Neha, M. and Spoorthi, N.},
}