دورية أكاديمية

A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks

التفاصيل البيبلوغرافية
العنوان: A Low Collision and High Throughput Data Collection Mechanism for Large-Scale Super Dense Wireless Sensor Networks
المؤلفون: Chunyang Lei, Hongxia Bie, Gengfa Fang, Elena Gaura, James Brusey, Xuekun Zhang, Eryk Dutkiewicz
المصدر: Sensors, Vol 16, Iss 7, p 1108 (2016)
بيانات النشر: MDPI AG, 2016.
سنة النشر: 2016
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: medium access control, carrier sensing range, data collection, wireless sensor network, Chemical technology, TP1-1185
الوصف: Super dense wireless sensor networks (WSNs) have become popular with the development of Internet of Things (IoT), Machine-to-Machine (M2M) communications and Vehicular-to-Vehicular (V2V) networks. While highly-dense wireless networks provide efficient and sustainable solutions to collect precise environmental information, a new channel access scheme is needed to solve the channel collision problem caused by the large number of competing nodes accessing the channel simultaneously. In this paper, we propose a space-time random access method based on a directional data transmission strategy, by which collisions in the wireless channel are significantly decreased and channel utility efficiency is greatly enhanced. Simulation results show that our proposed method can decrease the packet loss rate to less than 2 % in large scale WSNs and in comparison with other channel access schemes for WSNs, the average network throughput can be doubled.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1424-8220
العلاقة: http://www.mdpi.com/1424-8220/16/7/1108Test; https://doaj.org/toc/1424-8220Test
DOI: 10.3390/s16071108
الوصول الحر: https://doaj.org/article/3a42442acba84302bbbde6f54f1c548aTest
رقم الانضمام: edsdoj.3a42442acba84302bbbde6f54f1c548a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14248220
DOI:10.3390/s16071108