بهبود کارایی شبکه های حسگر بی سیم
ترجمه نشده

بهبود کارایی شبکه های حسگر بی سیم

عنوان فارسی مقاله: خوشه بندی پیشرفته و سینک های متحرک متعدد مبتنی بر بهینه سازی کلونی مورچه (ACO) برای بهبود کارایی شبکه های حسگر بی سیم
عنوان انگلیسی مقاله: Enhanced clustering and ACO-based multiple mobile sinks for efficiency improvement of wireless sensor networks
مجله/کنفرانس: شبکه های کامپیوتری – Computer Networks
رشته های تحصیلی مرتبط: مهندسی کامپیوتر، مهندسی فناوری اطلاعات
گرایش های تحصیلی مرتبط: مهندسی الگوریتم و محاسبات، شبکه های کامپیوتری
کلمات کلیدی فارسی: شبکه های حسگر بی سیم، خوشه بندی، طول عمر شبکه، مسیریابی، سینک های متحرک متعدد، تکنیک های بهینه سازی
کلمات کلیدی انگلیسی: Wireless sensor networks، Clustering، Network lifetime، Routing، Multiple mobile sinks، Optimization techniques
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
شناسه دیجیتال (DOI): https://doi.org/10.1016/j.comnet.2019.05.019
دانشگاه: AORC, Sungkyunkwan University, Suwon 16419, South Korea
صفحات مقاله انگلیسی: 8
ناشر: الزویر - Elsevier
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.205 در سال 2018
شاخص H_index: 119 در سال 2019
شاخص SJR: 0.592 در سال 2018
شناسه ISSN: 1389-1286
شاخص Quartile (چارک): Q1 در سال 2018
فرمت مقاله انگلیسی: PDF
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E13669
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست مطالب (انگلیسی)

Abstract

1. Introduction

2. System model

3. Proposed algorithm

4. Results

5. Conclusion

Declaration of Competing Interest

Acknowledgments

References

بخشی از مقاله (انگلیسی)

Abstract

The use of enhanced clustering techniques and multiple mobile sinks can improve the data-collection efficiency and reduce the energy consumption of wireless sensor networks. Most of the existing approaches use static sinks and multihop routing, which can cause data loss and the early death of sensor nodes, leading to energy-hole problems and inefficient data collection. Nowadays, sensors produce time-sensitive data, and hence, lossy data-collection approaches must be avoided. In order to overcome the aforementioned issues and improve the network lifetime, we propose an enhanced clustering methodology with multiple mobile sinks for efficient data collection. The performance of the proposed method is tested and compared with that of the existing algorithms LEACH, GA, and PSO. The simulation results show that the proposed approach improves the network lifetime significantly and reduces data loss.

Introduction

Sensors are small electronic devices used to monitor or measure changes in real-time environments [1]. They are usually inexpensive and low-power-consuming devices, which are capable of processing and transferring data to a base station. After successful deployment, the sensor nodes form a network, by selforganization, which is called the wireless sensor network (WSN). The primary work of a sensor node is to log the analog information of environmental changes and convert it into digital information with the help of analog-to-digital converters. In addition to logging information, the sensor nodes also act as repeaters to forward the data from other sensor nodes to the base station through single or multihop communication. Generally, the nodes are operated with limited battery resources, and the process of recharging or replacing the battery after deployment is tedious. Thus, the limited lifetime of battery is one of the fundamental issues in WSNs [2–۴]. Sensor technology has various applications, which include industries, automated homes, military applications, modern health care, environmental monitoring, and security, to name a few [5–۹]. In WSNs, information from the sensor nodes is usually transferred to the sink through multihop communication, in order to reduce the energy consumption of the nodes. Though such a data- ∗ Corresponding author. E-mail address: yoonmojung@skku.edu (Y.M. Jung). forwarding approach improves the overall lifetime of the network, it also causes energy-hole problems and the premature death of sensor nodes [10,11]. In particular, with this approach, the sensor nodes close to the sink forward not only their own data to the sink but also the data from their neighboring nodes.