An IoT/FOG based framework for sports talent identification in COVID-19 like situations

Abstract

COVID-19 crippled all the domains of our society. The inevitable lockdowns and social distancing procedures have hit the process of traditional sports talent identification (TiD) severely. This will interrupt the career-excellency of athletes and will also affect the future talent in the years to come. We explore the effect of COVID-19 on sports talent identification and propose an IoT/Fog-based framework for theTiD process during COVID-19 and COVID–like situations. Our proposed novel six-layer model facilitates the sports talent identification remotely using the various latest Information and Communication Technologies like IoT, fog and cloud computing. All the stakeholders like experts, coaches, players, institutes etc. are taken into consideration. The framework is mobile, widely accessible, scalable, cost-effective, secure, platform/location independent and fast. A brief case study of cricket talent identification using the proposed framework is also provided.

IP address allocation protocols in vehicular ad hoc networks

“…In Figure 8, the example of the Prophet allocation scheme is given. Assume that each node is represented by the pair "address, state of f." R is [1,8] in this case, and f(n) is (address*state*11) mod 7 where [1,6] is the effective address range. A is the first in Figure 8 Conflict results from a limited range of R. For the initial allocation, node A selects the seed for the entire MANETs, and the sequences may be computed locally.…”

“…All mobile nodes of VANETs are assigned a unique address just like the unique addresses are assigned in MANETs 3,4 . Nowadays, many researchers are working in the area of Internet of Things (IoT) that is the latest technological change that enable different things to communicate through the Internet 5,6 . For proper and efficient communication, all communicating parties need to be assigned an unique address.…”