The algorithm of selection next hop in wireless body area network based on framework of map reduce
محل انتشار: اولین کنگره بین المللی هوش مصنوعی در علوم پزشکی
سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 149
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شناسه ملی سند علمی:
AIMS01_241
تاریخ نمایه سازی: 1 مرداد 1402
چکیده مقاله:
Background and aims: Body wireless sensor networks are an example of wireless sensor networks.This network includes a number of small sensors, control unit, transmitter and receiver.These sensors are used to collect patient information and send them to the control unit. By usingthese types of networks, it is possible to significantly help patients and the elderly, and in addition,reduce treatment costs. Can the body’s wireless sensor network help the elderly and patientsto diagnose and treat the disease and reduce the number of visits to the hospital in the shortestpossible time.Method: In this paper, a new efficient protocol based on map-reduce framework is presented.Map-reduce is an algorithm parallelization framework that significantly reduces the time consumptionof the algorithm. We simulated the proposed algorithm by using eclipse software andinstalling Hadoop framework on it.Results: The analysis and simulation results of the algorithm show that the percentage of CPUoccupancy and memory consumption has decreased. This method has improved more than ۲۰%compared to the compared method.Conclusion: The use of body wireless sensor networks has improved the quality of life andcomfort of patients. This technology is always developing in order to provide the best service topatients, doctors and medical centers. In this article, we have presented a new efficient protocolbased on the map-reduce framework. which uses the mapping-reduction framework to select thenext hop in parallel so that the computing time is reduced and the speed of the provided protocolis increased compared to the existing protocols.
کلیدواژه ها:
نویسندگان
Seyedeh Leila Razavi Mehr
Qom University Of Technology
Mahbobeh Shamsi
Qom University Of Technology
Abdolreza Rasouli Kenari
Qom University Of Technology
Fateme Hasani
Qom University Of Technology