دانلود رایگان مقاله مسیریابی مشترک مبتنی بر شبکه برای شبکه حسگر بی سیم قابل شارژ صنعتی

عنوان فارسی
مسیریابی مشترک مبتنی بر شبکه و شارژ الگوریتم برای شبکه های حسگر بی سیم قابل شارژ صنعتی
عنوان انگلیسی
A grid-based joint routing and charging algorithm for industrial wireless rechargeable sensor networks
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
10
سال انتشار
2016
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
کد محصول
E955
رشته های مرتبط با این مقاله
مهندسی کامپیوتر و مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
شبکه های کامپیوتری
مجله
شبکه های کامپیوتر - Computer Networks
دانشگاه
گروه مهندسی اطلاعات و ارتباطات، دانشگاه Hohai، چین
کلمات کلیدی
IWRSNs، شبکه مبتنی بر مسیریابی مشترک و شارژ، شارژ فعالانه
چکیده

Abstract


Wireless charging techniques provide a more flexible and promising way to solve the energy constraint problem in industrial wireless rechargeable sensor networks (IWRSNs). Although considerable research has been done on wireless charging algorithms, most of it only focuses on passively replenishing nodes having insufficient energy. In this paper, we propose a grid-based joint routing and charging algorithm for IWRSNs to solve the charging problem in a proactive way. On the one hand, a new routing protocol is designed according to charging characteristics of the charger to achieve local energy balance. On the other hand, different charging times are allocated at different charging points on the basis of energy consumption caused by the routing process to achieve global energy balance. Simulation results verify superiority of our proposed algorithm in solving the balancing energy problem and improving survival rates of nodes.

نتیجه گیری

5. Conclusion


In this paper, we propose a grid-based joint routing and charging algorithm for IWRSNs. Simulation results show its superiority in achieving energy balance and improving survival rates of nodes in the network by comparing to the S-CURVES(ad) algorithm. It benefits from the following two aspects. 1) The routing protocol is designed based on the charging characteristics within charging grids, which brings energy balance in the local grid area. 2) The charging time at different charging points is decided by energy consumption rates of nodes around them, which leads to energy balance in the global network. On this premise, energy balance in the network and longer lifetimes of nodes can be achieved. In the future, a more efficient traveling path can be designed, achieving larger survival rates of nodes. Further, an uneven distribution of nodes and barriers in the network should be taken into consideration.


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