M. Vasim Babu

In the not-so-distant future, the confluence of cutting-edge technologies such as artificial intelligence (AI), telemedicine, and blockchain is transforming the way we perceive and interact with the world. A pivotal component of this paradigm shift is the use of unmanned aerial vehicles (UAVs) to enable seamless communication within the Metaverse, where physical and digital realms blend harmoniously. This chapter delves into the intricate web of UAV communication, exploring its applications, challenges, and potential for shaping the metaverse of tomorrow.

The cutting-edge technology that is growing in popularity worldwide is cloud computing. Keeping the data in the cloud via cloud storage because it can be accessed from anywhere at any time. There exist many different privacy-preserving data auditing methods, each of which has benefits and drawbacks of its own. As a result it's essential to create an auditing approach that does away with all of the drawbacks of existing strategies. The cloud, the TPA, and the data owner server comprise its three key components. The owner of the data performs static data operations like introducing, altering, and deleting data as well as dynamic data operations like dividing a file, encoding it in chunks, establishing a each block's hash value, combining them, and signing it. Data validation can either be carried out automatically or at the user's request. The setting up of an audit service with elements like privacy protection, open auditing, data integrity, and privacy is the main objective. Request access from your librarian to read this chapter's full text.

The wireless and mobile communication industries have developed over the past decade. Thus, a Microstrip antenna is necessary for proficient communication. It defines a circular Microstrip antenna that is well-organized, dual band and low cost An FR-4 substrate material (ξr = 4.4) is used to mount a circular patch. In order to allow dual band operation, the circular patch retains E shaped circular slot. Based on High Frequency Structural Simulation (HFSS) tool, an antenna is considered and replicated using Finite Element Method (FEM). An antenna designed to operate dual band at 3.77 GHz and 5.14 GHz showed a higher bandwidth. The proposed dual band circular shaped antenna has higher Gain and Enhanced Bandwidth and suitable for IoT applications.

The prime objective of this chapter is to develop a power-mapping localization algorithm based on Monte Carlo method using a discrete antithetic approach called Antithetic Markov Chain Monte Carlo (AMCMC). The chapter is focused on solving two major problems in WSN, thereby increasing the accuracy of the localization algorithm and discrete power control. Consecutively, the work is focused to reduce the computational time, while finding the location of the sensor. The model achieves the power controlling strategy using discrete power levels (CC2420 radio chip) which allocate the power, based on the event of each sensor node. By utilizing this discrete power mapping method, all the high-level parameters are considered for WSN. To improve the overall accuracy, the antithetic sampling is used to reduce the number of unwanted sampling, while identifying the sensor location in each transition state. At the final point, the accuracy is increased to 94% wherein nearly 24% of accuracy is increased compared to other MCL-based localization schemes.