دانلود مقاله ISI انگلیسی شماره 67563
عنوان فارسی مقاله

مسیریابی چند جغرافیایی بر اساس تقسیم جغرافیایی در شبکه های حسگر بی سیم زیر آب چرخه کار

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
67563 2016 10 صفحه PDF سفارش دهید 8350 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Network and Computer Applications, Volume 59, January 2016, Pages 4–13

کلمات کلیدی
شبکه های حسگر بی سیم زیر آب - مسیریابی جغرافیایی؛ بخش مکانی؛ چرخه کار
پیش نمایش مقاله
پیش نمایش مقاله مسیریابی چند جغرافیایی بر اساس تقسیم جغرافیایی در شبکه های حسگر بی سیم زیر آب چرخه کار

چکیده انگلیسی

In Underwater Wireless Sensor Networks (UWSNs), the geographic routing is a preferred choice for data transmission due to the unique characteristics of underwater environment such as the three dimensional topology, the limited bandwidth and power resources. This paper focuses on underwater routing protocols in the network layer, where underwater sensor nodes can collaborate with each other to transfer data information. The three dimensional underwater network is first divided into small cube spaces, thus data packets are supposed to be collaboratively transmitted by unit of small cubes logically. By taking complex properties of underwater medium into consideration such as three dimensional topology, high propagation delay and path loss of acoustic channel, we propose two novel multi-path strategies called Greedy Geographic Forwarding based on Geospatial Division (GGFGD) and Geographic Forwarding based on Geospatial Division (GFGD). The proposed two algorithms mainly consist of two phases, choosing the next target small cube, and choosing the next hop node in the target small cube. Furthermore, all the sensor nodes in the network are duty-cycled in the MAC layer. Finally, performance analysis is derived, and simulation results illustrate the performance improvement in finding route paths, optimal length of found paths. In addition, energy consumption of route finding is reduced and propagation delay of data transmission is decreased.

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پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.