ISSUES AND CHALLENGES OF WIRELESS SENSOR NETWORKS LOCALISATION IN EMERGING APPLICATIONS

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ISSUES AND CHALLENGES OF WIRELESS SENSOR NETWORKS LOCALISATION IN EMERGING APPLICATIONS

Abstract:

Wireless Sensor Networks (WSNs) have garnered significant attention due to their widespread applications in various fields, including environmental monitoring, healthcare, agriculture, and smart cities. One critical aspect of WSNs is localization, which refers to the determination of sensor node positions in a given environment. Accurate localization is essential for enabling numerous applications and functionalities within WSNs. However, achieving precise localization in emerging applications poses several challenges and issues.

This abstract explores the multifaceted challenges encountered in localizing sensor nodes within evolving WSN deployments. Firstly, it delves into the complexities arising from the diverse environmental conditions prevalent in emerging applications. These conditions, such as urban landscapes, dense foliage, or underwater environments, can significantly affect signal propagation and consequently impact localization accuracy. Additionally, the inherent limitations of sensor hardware and communication protocols further exacerbate the localization challenges.

Furthermore, emerging applications often demand real-time or near real-time localization capabilities, imposing stringent requirements on localization algorithms in terms of efficiency, scalability, and energy consumption. Balancing the trade-offs between accuracy and resource constraints becomes crucial in such scenarios.

Moreover, the dynamic nature of many emerging applications introduces temporal variations in the environment, necessitating adaptive localization techniques capable of accommodating changes over time. Addressing these temporal dynamics while maintaining localization accuracy presents a significant research challenge.

Another aspect of concern is the security and privacy implications associated with localization data in sensitive applications such as healthcare or surveillance. Protecting location information from unauthorized access or malicious attacks is paramount for ensuring the integrity and confidentiality of the WSNs.

This abstract concludes by emphasizing the need for interdisciplinary research efforts spanning areas such as signal processing, machine learning, communication protocols, and security to address the complex challenges of WSN localization in emerging applications effectively. By overcoming these challenges, WSNs can realize their full potential in revolutionizing diverse fields and enabling innovative solutions for societal needs.

Table of Contents

Chapter 1: Introduction to Wireless Sensor Networks Localization

1.1 Overview of Wireless Sensor Networks (WSNs)

1.2 Importance of Localization in WSNs

1.3 Scope and Objectives of the Study

Chapter 2: Fundamentals of WSN Localization

2.1 Types of Localization Techniques

2.2 Signal Propagation Models in WSNs

2.3 Localization Algorithms: A Comparative Analysis

2.4 Factors Affecting Localization Accuracy

Chapter 3: Challenges in WSN Localization for Emerging Applications

3.1 Environmental Factors and Their Impact on Localization