Reducing End to End Delay through Enhanced Hybrid LDAPSO Algorithm for ECG Signal in WBAN
Emerging technologies of wireless body area network (WBAN) has brought a new and huge hope for solving the problems of aging of populations, different chronic diseases, and shortage of medical facility. Designing of routing algorithms becomes an essential part of WBANs and it plays an important role in calculating the performance and quality of service in sensor network. In this paper an Enhanced particle swam optimization (PSO) algorithm is used for reducing end to end delay by finding relevant path in wireless body area network. The research work carried out in this paper is to reduce the end to end delay by calculating and applying the fitness value and best particle with relevant optimal path using optimized PSO algorithm. Furthermore with the relevant path the optimal node transmitted the extracted ECG data packets in healthcare centers.