مقاله انگلیسی رایگان در مورد فیوژن اطلاعات در نظارت شبکه حسگر بی سیم – الزویر ۲۰۱۹

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله برنامه ریزی انرژی آگاه برای فیوژن اطلاعات در نظارت شبکه حسگر بی سیم
عنوان انگلیسی مقاله Energy-aware Scheduling for Information Fusion in Wireless Sensor Network Surveillance
انتشار مقاله سال ۲۰۱۹
تعداد صفحات مقاله انگلیسی ۴۱ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) scopus – master journals – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۶٫۶۳۹ در سال ۲۰۱۷
شاخص H_index ۷۲ در سال ۲۰۱۹
شاخص SJR ۱٫۸۳۲ در سال ۲۰۱۹
رشته های مرتبط مهندسی فناوری اطلاعات
گرایش های مرتبط شبکه های کامپیوتری
نوع ارائه مقاله
ژورنال
مجله / کنفرانس همجوشانی اطلاعات – Information Fusion
دانشگاه School of Information Science and Engineering – Central South University – China
کلمات کلیدی شبکه های حسگر بی سیم، توپولوژی شبکه، کارایی تشخیص، نمودار Voronoi
کلمات کلیدی انگلیسی Wireless Sensor Networks, Network topology, Detection Efficiency, Voronoi Diagram
شناسه دیجیتال – doi
https://doi.org/10.1016/j.inffus.2018.08.005
کد محصول E10181
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Highlights
Abstract
Keywords
۱ Introduction
۲ Related work
۳ System overview
۴ Voronoi diagram based node importance computing
۵ Forwarding costs based node importance computing
۶ Intelligent awakening scheme for information fusion
۷ Node importance based information fusion
۸ Experimental analysis
۹ Conclusions
Acknowledgement
Appendix A. Supplementary materials
Research Data
References

بخشی از متن مقاله:
Abstract

Effective energy control while maintaining reliable monitoring performance becomes a key issue in wireless sensor networks (WSNs) based surveillance applications. While importance difference of surveillance zone, limited energy and dynamic network topology pose great challenges to surveillance performance. It is necessary to adjust sensor nodes awakening frequency dynamically for information fusion. Thus an energy-aware scheduling with quality guarantee method named ESQG is proposed in this paper which considers sensor nodes residual energy, different importance degrees of the surveillance zone and network topology comprehensively. It first uses a Voronoi diagram to determine the effective scope of each sensor node and then calculates node importance according to its residual energy and the importance degree of the effective scope. Then ESQG utilizes the importance of individual sensing scope and current forwarding costs to further compute node importance and awakening frequency for information fusion. In this way, ESQG can dynamically adapts each nodes awakening frequency to its dynamic network topology and importance degree of each individual sensing scope. The nodes are then turned on stochasticlly via the node awakening probability and node importance based information fusion is conducted for target detection. Besides, an adaptive process of perception factor C is proposed to match actual situation, and automatically change according to the detected data. Experiments results demonstrate that the proposed method ESQG can reduce the number of awakening nodes to a large extent while maintaining high reliability via information fusion.

Introduction

With the rapid development of integrated circuits, digital signal processing and low-range radio electronics, wireless sensor networks (WSNs) have received great attention for wide application potentials. WSN based applications enlarge 5 human capabilities to remotely interact with the physical world. These applications include battlefield surveillance [1], target tracking [2], home appliances and inventory tracking in which information fusion [3] is needed. For example, in the monitoring of Blue-green Algae Bloom on Lake Tai [4], its physical information (eg., water temperature, water color) can be obtained to predict biolog10 ical growth and potential ecological disasters via information fusion. However, WSN enjoys some unique characteristics such as limited energy supply. That is because sensor node has a finite energy reserve supplied by a battery and is often unfeasible to recharge the battery, effective energy control while maintaining reliable detection performance is key problem to wireless sensor networks 15 surveillance. Thus minimizing energy consumption while maintaining system performance via information fusion remains a high priority in designing wireless sensor networks. To prolong the lifespan of a network, sensor nodes are often scheduled to sleep dynamically. While adjacent nodes share common sensing tasks, which 20 implies that not all sensor nodes are required to perform the sensing task in the whole system lifetime. That is to say, as long as there are enough working nodes, the function of the whole system will not be affected by some sleeping nodes. Therefore, if the sensors can be well scheduled, the system lifetime can be prolonged correspondingly; i.e. the system lifetime is prolonged by exploiting 25 redundancy [5]. In order to increase the node energy utilization and lengthen the lifetime of the wireless sensor network (WSN), a novel clustering node sleep scheduling algorithm based on information fusion is proposed in [6]. But these works mentioned above does not consider providing differentiated surveillance services for different importance degree areas while maintaining high enough 30 detection probability to targets. All of them do not consider link fluctuations and other network dynamics. What is more, sleep scheduling mechanism is the most widely used technique for efficiently managing network energy consumption. The author of [7] provides a survey on energy-efficient scheduling mechanisms in wireless sensor networks that has different network architecture 35 than the traditional wireless sensor networks. However, although much more energy can be saved by reducing the working time of sensor module [8], duty cycling usually wastes energy due to unnecessary wakeups, and low-power radios are used to awake a node only when it needs to receive or transmit packets while a power-hungry radio is used for data transmission and information fusion.

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