Dear Colleagues,

The urbanization and development of rural regions are gaining an advantage in recent years, demonstrating the need for smart cities to create a better environment for people. The core expectations of smart cities are sensing with intelligence and conserving as many energy resources for the future generation. From that perspective, many technologies are evolving and are utilized for the improvement of smart city infrastructures. Various parameters need constant monitoring while building a smart city, including environmental monitoring, water level monitoring systems, traffic, energy-saving and control, remote sensor systems, equipment failures, automatic lighting, and energy services. For effective monitoring of these factors, smart sensors are one of the significant options to enable effective smart cities. Using them would improve public infrastructures, such as roads, buildings, and constructions, and cause them to become more efficient and greener.

Smart sensors are deployed for smart city environmental surveillance using a speedometer and an AI-powered wireless network that performs various tasks like continuous monitoring of power and failures. Better decision-making for smart cities is made possible with unbiased data generation through advanced sensor networks. Although machine learning and IoT sensors are emerging in today’s smart city infrastructural plans, they can compute complex data that can be analyzed quickly to aid a dynamic structure. Beyond these advances, the energy distribution is one of the challenging scenarios in a smart city plan. Managing energy and saving resources is the primary goal for developing a sustainable smart city. From that outlook, AIoT integrated power grids and sensors enable a better demand for energy-saving. Smart grid sensors are also able to improve the energy efficiency of people living in smart zones. Crucial developments of sensors would include the improvement of smart and autonomous transport in a smart city environment. However, the growth of proximity, lidar, and radar sensors powered by ML algorithms are able to critically decrease power consumption and light up smart cities without emissions.

Alongside the benefits, implementing advanced smart sensors in a smart city environment also provokes certain limitations, such as ethical issues that include privacy and security. In addition to that, the control of widely situated sensor networks makes it challenging to obtain reliable data without faster networks. Any physical damage and power failures on the sensors would lead to collision and blockage of the entire communication system of the smart cities. Thus, we need more understanding of how these limitations could be re-defined with advanced research in this platform. This Special Issue enumerates the emerging advancements happening in the field of smart sensors deployed in smart city infrastructures.

Original contributions are being sought in a wide range of related topics including, but not limited to, the following:

• Implementation of wireless sensor networks in smart cities—Enumerate on challenges and opportunities;
• IoT enabled smart sensors and their implications in smart city infrastructure;
• Key factors that influence wide network sensors in smart cities;
• Integration of cloud and sensors for smart city environments;
• Role of smart sensors for preventing and preserving environmental energy resources;
• Efficient use of power consumption with smart sensors;
• AI-powered sensor networks for mitigating power outages in smart cities during crises;
• Smart sensor solutions for smart city traffic management;
• Role of smart sensors for public safety and security;
• Smart sensor digital tracking for smart city waste management practices.

Dr. Adhiyaman Manickam
Dr. J. Alfred Daniel
Dr. Dinesh Jackson Samuel
Guest Editors

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