Abstract
أصبحت شبكات استشعار الوسائط المتعددة اللاسلكية (WMSNs) شائعة على نطاق واسع بسبب توفر أجهزة استشعار متعددة الوسائط سهلة الاستخدام ومنخفضة التكلفة قادرة على استرداد ونقل محتوى الوسائط المتعددة مثل الصوت والصور وتدفق الفيديو. اتبعت محاكاة WMSN التقنيات والأدوات المستخدمة بشكل أساسي بواسطة شبكات الاستشعار اللاسلكية المماثلة (WSN). هذا ، لسوء الحظ ، لم يكن كافيًا لطبيعة البيانات الكثيفة لشبكات WMSN. لذلك ، لا يزال من الصعب توفير أطر محاكاة كافية لشبكات WMSN. تقدم هذه الورقة مسحًا لأطر المحاكاة والأدوات المتاحة لشبكات WMSN. يتم عرض التحديات التي تواجه عملية المحاكاة لأول مرة. بعد ذلك ، يتم تقديم ومراجعة سمات محاكاة WMSN المثالية. كما تم عرض ومناقشة النموذج العام لبيئات محاكاة WMSN. أخيرًا ، يتم تقديم مسح مفصل لأطر وأدوات المحاكاة المتاحة. يتم أيضًا تقديم الأدوات الموروثة من شبكة الاستشعار اللاسلكية (WSN) وتلك المصنوعة خصيصًا لشبكات WMSN.
Highlights
Wireless Sensor Networks (WSNs) contain small devices known as nodes that collect data from their physical environment and transmit them through the network to a central control station where they are analyzed and possibly decisions are made [1]
While WSNs operate on simple scalar measurements, Wireless multimedia sensor networks (WMSNs) deal with more complex vector-based data such as video and audio [7] where hundreds or thousands of media sensing devices, communicating by means of wireless transmission, form WMSNs that serves different applications
Dutta et al [39] aim to develop parallel calculation simulators for independent sensor nodes simulation. This enables the use of GPUs with many cores and real parallel and independent operations by dedicated GPU cores resolve the slowdown of the execution speed when numerous sensor nodes are used for simulations
Summary
Wireless Sensor Networks (WSNs) contain small devices known as nodes that collect data from their physical environment and transmit them through the network to a central control station where they are analyzed and possibly decisions are made [1]. Wireless Multimedia Sensor Networks (WMSN) are wirelessly connected nodes that are able to retrieve and transmit multimedia content like video and audio streams. Multimedia content, especially video streams, require transmission bandwidth that is orders of magnitude higher than that supported by currently available sensors [18] [19]. The pre-deployment process of WMSN need to be supported with extensive multimedia-aware simulation frameworks to improve its success rates. This seems to solve the problem, such extensions are usually developed as layers or plugins over the existing simulation kernels, which introduces many simulation-performance concerns and limits their scalability.
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