A Secure Information Discovery Using Mobile Agents in Wireless Industry 4.0 Networks

Industry 4.0 became the boon to secure information discovery. In most existing information discovery systems, mobile computing processes are complex due to their continuous query processing overhead to provide “right information at right time.” Even though many searching applications are there, they are unable to provide the accurate information when needed as the required objects are not being updated regularly. This paper intends to provide a process and Industry 4.0 architectures, which performs a secure information and discovery database through securing the users query. The paper also deals with the responses to the respective query made by monitor tracker agent. The research work secures the information discovery using mobile agents in wireless Industry 4.0 networks.

The case of the missing royalty stacking in the world mobile wireless industry

We build an equilibrium royalty stacking model that links the number of standard-essential patent (SEP) holders with the equilibrium quantity, price and cumulative royalty. We show that all observable implications of the theory are inconsistent with the data from the world mobile wireless industry. In this industry, the number of SEP holders grew from 2 in 1994 to 130 in 2013. Royalty stacking theory predicts falling or stagnant output, rising selling prices, and rising or stagnant quality-adjusted prices. By contrast, between 1994 and 2013 worldwide yearly device sales grew 62-fold, at an average rate of 20.1% per year, and both selling and quality-adjusted prices fell fast over time. Controlling for technological generation, the real average selling price of a device fell between -11.4% and -24.8% per year. Similarly, under conservative parametrizations, royalty stacking theory predicts royalty yields, which are more than an order of magnitude larger than the observed average cumulative royalty yield charged by SEP holders in practice, which hovers between 3% and 3.5%. A theory based on Lerner and Tirole’s (2015, J. Political Econ., 123(3), 547–586) within-functionality competition yields observable implications consistent with the observed facts. If all the technologies protected by SEPs have meaningful substitutes that cap the royalty that any SEP holder can charge, then the cumulative royalty is independent of demand parameters in the downstream market and can be as low as the observed average cumulative royalty yield. Moreover, if the product market is competitive and technological progress is fast, then prices follow costs, quality-adjusted prices protractedly fall, and sales grow fast.

Wireless Sensor Network and Industrial Internet of Things Based Industrial Machinery Control and Noise Detector

This paper describes a wireless sensor network and industrial internet of things based Industry machinery control and noise detector, where the using control platform is Arduino, While TCP and IOT is serving as a communication protocol. The function of Arduino is to understand data destination along with the functioning of data to that machine similarly sensors used to take information at their level and fed back for the proper functioning. This paper aims in designing a convenient wireless industry where cabling is not possible. It also has lower installation and maintenance charge for flexible Industry. This paper presents the measurement and reduction of noise from the machines for the betterment of workers.