دانلود مقاله ISI انگلیسی شماره 43876
عنوان فارسی مقاله

مدیریت بحران با استفاده از MAS مبتنی بر شبکه های حسگر بی سیم

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
43876 2013 17 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Crisis management using MAS-based wireless sensor networks
منبع

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

Journal : Computer Networks, Volume 57, Issue 1, 16 January 2013, Pages 29–45

کلمات کلیدی
شبکه های حسگر بی سیم - سیستم های چند عامله - مدیریت بحران - جمع آوری داده ها - ردیابی شیء
پیش نمایش مقاله
پیش نمایش مقاله مدیریت بحران با استفاده از MAS مبتنی بر شبکه های حسگر بی سیم

چکیده انگلیسی

Wireless communication is increasingly used to manage large-scale crises (e.g., natural disasters or a large-scale city fire). Communication has traditionally been based on cellular networks. However, real-life experience has proven that the base stations of these networks may collapse or become unreachable during a crisis. An incident commander must also know as much information as possible about the occurring events to control them quickly and efficiently. This paper thus proposes a crisis management approach that overcomes the problems encountered by the base stations and insures relevant, rich and real-time information about events. This approach is based on wireless sensor networks, which are distributed in nature with no need for infrastructure and could be deployed in dangerous and inaccessible zones to gather information. Our proposal uses a multi-agent system as a software layer. The multi-agent system aims to improve the wireless sensor network performance by allowing cooperation between sensor nodes, offering better lifetime management and virtualizing the application layer. This virtualization supports several required applications simultaneously, including event monitoring and object tracking. Through successive simulations, we prove the importance of our approach in crisis management using several criteria to estimate the position’s error in object tracking, end-to-end delay and wireless sensor network lifetime management.

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