Cricket being an extremely competitive game; players are always under pressure to perform and improve continuously. Talent enhancement in cricket is conventionally achieved through practice under coach's supervision and analysis using costly assistive technology. Although this approach is workable, but it is constrained due to nonavailability of quality coaches, equipment, and in many cases the limited domain knowledge of the coaching staff. This constraint is significant for a country like India where 55,000 matches and 1,210,000 players play cricket daily. The literature review did not reveal any algorithm/model/framework focused on the issue of talent enhancement. In this paper, we present an alternate/supporting approach based on comparison of the players’ overall talent class viz‐a‐viz the corresponding performances of the player against the 28 aspects of talent from cricketing perspective. The Ordered Weighted Averaging Aggregation (OWA) operator was used to aggregate the opinion of experts for assessment of talent classes in cricket. The normative data obtained for a cricket enthusiast was then compared using normalized adequacy coefficient with aggregated opinions of experts. This resulted in identification of the talent class of the cricketer. Subsequently, the weaknesses were identified by comparing the outcomes of the identified parametric tests for this cricket enthusiast with the value corresponding to his/her talent class. The algorithm was validated using two‐sided t test. A case showing implementation of algorithm is also explained.
With the tremendous increase in the research and development of Internet of Things and Internet of Vehicles, the research scope of Mobile Ad Hoc networks has also increased, rapidly. A number of routing protocols have been proposed to transfer data packets from source to destination nodes. Among these routing protocols, some of them have focused upon multiple paths for data transfer so that route re-discovery time could be minimized. Thus, the end-to-end delay has reduced. The main purpose of these multi-path routing protocols is to balance the load among all or some of the available routes. However, the selection of proper parameters is very crucial and important for load balancing. In this paper, we develop a load-balanced multi-path routing protocol with energy constraints (EE-LB-AOMDV). It first categorized the multiple paths based upon three parameters: hop-count, round-trip time, and residual energy. Then only, it starts data transmission based upon the quality of the path. The simulation results show that the performance of the proposed routing protocol has been improved significantly in terms of packet delivery ratio (PDR), average end-to-end delay (delay), routing overhead (overhead), energy exhausted nodes, and route rediscovery frequencies.
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