Real Time Broadcast Scheduling in Tsch for Smart Healthcare Using Cuckoo Search Algorithm

Author:

kotteswaran Pavithra1,D rekha1

Affiliation:

1. VIT University - Chennai Campus

Abstract

Abstract Smart Healthcare Sensor Network (SHSN) has caught the attention of scientists and researchers. SHSN has a low bandwidth which causes low successful packet transmission. To transmit and receive the data without any collision and for efficient broadcast scheduling Time Slotted Channel Hopping (TSCH) can be used. The broadcast scheduling problem needs to be addressed in SHSN as the bandwidth is limited. This is done by collaterally transmitting the node data in the same time slot such that it does not cause interference with each other. This further minimizes the network turnaround time by enhancing the time slot in the TSCH frame. The proposed work focuses to achieve maximum throughput, turnaround time of nodes by using Genetic Algorithm (GA), Immune Genetic Algorithm (IGA), and Cuckoo Search Algorithm (CSA). The point is to limit the TSCH cycle period and augment the hub communication with diminished calculation time. In examination to GA and IGA, CSA effectively points to improving the arrangements and is unequivocally worried about abusing all accessible information about the issue. The reproduction results on various issue examples affirm that CSA altogether beats a few heuristic and transformative calculations by tackling notable benchmark issues in terms of arrangement quality, which likewise exhibits the viability of CSA in proficient utilization of channel transfer speed.

Publisher

Research Square Platform LLC

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