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Abstract

In Wireless Body Area Network (WBAN) is developing speedy advancement and it has such a large number of new techniques and calculations for finding the ideal way to propagate crisis messages. One of the primary social calculations is ACO (Ant Colony Optimization), which takes care of numerous difficult issues, for example, Traveling Salesman Problem (TSP). In the TSP an arrangement of territory (e.g. urban areas) and the separations between them are given. The issue comprises of finding a shut voyage through insignificant length that visits every city. To apply ACO and TSP strategies, we consider the diagram portrayed by a partner the arrangement of urban communities with the arrangement of vertices of the chart. This chart is called development diagram. We set the lengths of the edges between the vertices to be relative to the partitions between the urban areas spoke to by these vertices and we relate pheromone esteems and heuristic esteems with the edges of the diagram. Notwithstanding that, it could consider the healing center condition as one of the fundamental applications. In this work, the ACO approach which serves to Traveling Salesman issue for finding most brief way to send the crisis messages to the specialist by means of sensor hubs and furthermore it has utilized static Bayesian Game Formulation with blended technique which upgrade the system life time. At whatever point the patients require crisis treatment or medicinal care, the crisis messages will be made by the WBAN and sends to the goals of specialist. These interchanges should be possible utilizing ACO and Bayesian Game Formulation.

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How to Cite
E.Janani, & S. Karuppusamy. (2018). A Survey on Network Lifetime Enhancement in Wireless Body Area Network . International Journal of Intellectual Advancements and Research in Engineering Computations, 6(2), 1668–1675. Retrieved from https://ijiarec.com/ijiarec/article/view/714