An efficient span-k-nearest neighbour (SKNN) algorithm has been proposed. It is used for the categorization of heart disease. The objective is to differentiate the data and find the accuracy of detection. The pre-processing is done based on the three attributes combination that is two, three and four with the help of KNN method. Then it is categorized based on five different spans that are 100, 125, 150, 200 and 250. The proposed work is compared with different factors of SKNNso that the proper capability can be explored. The obtained results show that the proposed approach has the significant capability of better classification.

In Modern communication systems, design and development of wireless sensor network plays a very crucial role, especially for broadcast communication. This paper describes a medium access control protocol for wireless sensor networks designed for broadcast communication. The RI-MAC (Random Interference Medium Access Control) protocol uses random slot assignment in each MAC frame, along with knowledge of neighbors' transmission schedules to mitigate some of the energy wasting problems with existing MAC protocols. RI-MAC conserves energy, transmits messages fairly among the nodes in the system, and is adaptive to changes in the topology. Preliminary evaluation tests indicate that RI-MAC uses less energy than CSMA.