Wireless Sensor Network (WSN) is a self-organized distributed communication network, composed by a number of geographically separated, autonomous and low-cost sensor nodes with limited power and processing capability, which are cooperating with each other to connect and process data from the surrounding through wireless communication. To fulfill a common task, WSN cooperates through the wireless transmission medium. In recent years, WSN has attracted research interest because of its employment on land, underground, underwater and top of mountain, which is very wide. However, there are still obstacles to be more extensively employed. In this work, it is emphasized that blind equalization should be proactively utilized to develop WSNs furthermore. A method based on finding the easiest sensor location is derived and its performance is demonstrated in a comparative fashion.

As we are stepping into 5G communication era, it is impossible to imagine a consumer device like cellular phones, laptops etc, without wireless functionality or internet connectivity .This is making every electronic company to looking forward to the enormous possibility of micro strip patch antennas and their potential as they are compact, mass produce-able, low profile and light weight. In the current article, a printed monopole and proven its exhaustive simulation results covering broad band techniques and these results matching UWB frequency band from 3.10GHz to 10.56Ghz.As we are stepping into 5G communication era, it is impossible to imagine a consumer device like cellular phones, laptops etc, without wireless functionality or internet connectivity .This is making every electronic company to looking forward to the enormous possibility of micro strip patch antennas and their potential as they are compact, mass produce-able, low profile and light weight. In the current article, a printed monopole and proven its exhaustive simulation results covering broad band techniques and these results matching UWB frequency band from 3.10GHz to 10.56Ghz.

Vehicle Ad-hoc Network (VANET) is a non-infrastructure system. It provides improvements in safety technologies and makes driving easier. The network helps vehicles to share their data for traffic analysis and security purposes. With the development of modern technology and smart cities worldwide, the VANET sector has expanded. VANET provides a self-aware framework that can greatly impact on improving traffic related services and reducing accidents in the road. The information shared in this network is time-limited which requires a well-built and fast network connection. VANET, due to its wireless ad-hoc nature, fulfils this requirement, albeit with security concerns. The most dynamic connections of this network, sensitive information sharing and time sensitivity make it an attractive area for aggressors This study describes the literature survey on VANET with the main focus on security issues and the challenges coupled with it. VANET, architecture, security fundamentals, attack types, and characteristics of probable attacks on VANET are discussed in this paper.

We as humans are producing a lot more data than we can store today. If we want to put a dent on a problem, we need a radical solution to it. Each miniature in 2018, Google conducted 3.88 million looks, and individuals observed 4.33 million recordings on YouTube, sent 159,362,760 e-mails, tweeted 473,000 times and posted 49,000 photographs on Instagram, agreeing to program company Domo. By 2020 an assessed 1.7 megabytes of information will be made per moment per individual all-inclusive, which deciphers to around 418 zettabytes in a single year (418 billion one-terabyte difficult drive’s worth of data), expecting a world populace of 7.8 billion. The attractive or optical data-storage frameworks that right now hold this volume of zeros and ones ordinarily cannot last for more than a century. Additionally, running information centers need huge amount of energy. In brief, we are almost to have a genuine data-storage issue that will as it were ended up more serious over time Now imagine storing chunks of data in the size of jellybean weighing about three grams which means in three grams of DNA we can pack 600 million gigabytes of data.

As free space optics (FSO) is unguided transmission media which is also named as optical wireless communication (OWC) and FSO links are operating near Infrared (IR) bands. And are widely used media to transmit information or signal as it provided wide range of bandwidth with effective modulation schemes. Free space optics works on line-of-sight (LOS) which leads to some major issues for transmitting signal at long range of distance due to weather changes, atmospheric disturbances, multi-storey buildings, etc. Over long ranges, received signal quality degraded due to random fluctuation during transmission. FSO provide high speed data rate transmission between transmitter and receiver over several kilometres of distance. Along with these applications it also provides different quantum key distribution protocols to provide secure transmission over the space.