Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques
المؤلفون المشاركون
Nordin, Rosdiadee
Gharghan, Sadik Kamel
Ismail, Mahamod
المصدر
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-08-23
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص EN
In most wireless sensor network (WSN) applications, the sensor nodes (SNs) are battery powered and the amount of energy consumed by the nodes in the network determines the network lifespan.
For future Internet of Things (IoT) applications, reducing energy consumption of SNs has become mandatory.
In this paper, an ultra-low-power nRF24L01 wireless protocol is considered for a bicycle WSN.
The power consumption of the mobile node on the cycle track was modified by combining adjustable data rate, sleep/wake, and transmission power control (TPC) based on two algorithms.
The first algorithm was a TPC-based distance estimation, which adopted a novel hybrid particle swarm optimization-artificial neural network (PSO-ANN) using the received signal strength indicator (RSSI), while the second algorithm was a novel TPC-based accelerometer using inclination angle of the bicycle on the cycle track.
Based on the second algorithm, the power consumption of the mobile and master nodes can be improved compared with the first algorithm and constant transmitted power level.
In addition, an analytical model is derived to correlate the power consumption and data rate of the mobile node.
The results indicate that the power savings based on the two algorithms outperformed the conventional operation (i.e., without power reduction algorithm) by 78%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Gharghan, Sadik Kamel& Nordin, Rosdiadee& Ismail, Mahamod. 2016. Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques. Journal of Sensors،Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1110595
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Gharghan, Sadik Kamel…[et al.]. Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques. Journal of Sensors No. 2016 (2016), pp.1-21.
https://search.emarefa.net/detail/BIM-1110595
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Gharghan, Sadik Kamel& Nordin, Rosdiadee& Ismail, Mahamod. Energy Efficiency of Ultra-Low-Power Bicycle Wireless Sensor Networks Based on a Combination of Power Reduction Techniques. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-21.
https://search.emarefa.net/detail/BIM-1110595
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1110595
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر