شماره مدرك :
15732
شماره راهنما :
14050
پديد آورنده :
صهبافرد، آرش
عنوان :

حسگري فشرده مبتني بر گام‌هاي تصادفي به منظور كاهش مصرف انرژي در شبكه‌هاي حسگر بيسيم

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
مخابرات شبكه
محل تحصيل :
اصفهان : دانشگاه صنعتي اصفهان
سال دفاع :
1399
صفحه شمار :
يازده، 65ص.: مصور(رنگي)، جدول، نمودار
استاد راهنما :
مهدي مهدوي
توصيفگر ها :
شبكه هاي حسگر بي سيم , حسگري فشرده , همبستگي فضايي و زماني , طول عمر شبكه
استاد داور :
محمد دوست حسيني، مجيد نبي
تاريخ ورود اطلاعات :
1399/06/17
كتابنامه :
كتابنامه
رشته تحصيلي :
برق
دانشكده :
مهندسي برق و كامپيوتر
تاريخ ويرايش اطلاعات :
1399/06/18
كد ايرانداك :
2631633
چكيده انگليسي :
Using compressed sensing based on random walking for reducing energyconsumption in wireless sensor networksAbstractWireless Sensor Networks WSNs have been used in many applications during recentdecades In these networks sensors are distributed over the different points of an area invarious layouts Basically wireless sensors are used in detecting and transferringinformation due to their battery limitations Therefore energy consumption is a vital topicin these networks and lots of algorithms and protocols in order to reduce the amount ofenergy had been proposed Designing low complex systems with low energy consumptionwhich can increase the lifetime of a network besides preparing a balance between thetransferred data and costs in a network are the greatest motivations in these studies In thisregard compressed sensing is one of the methodologies for evaluating the related challenges In this study different methods proposed in energy reduction are introduced and a newevaluation based on compressed sensing is discussed First of all energy efficiency methodsand their standards are considered besides compressed sensing methods in wireless sensornetworks After that the way of using compressed sensing based on spatio temoral featuresbetween the nodes is studied In fact using these features can be helpful in clustering thenodes and selecting a cluster head as a responsible node of a cluster for energy the efficiencyof a network and increase its lifetime In this thesis a new algorithm in compressed sensingbased on random walking in wireless sensor networks is proposed and it is shown thatmentioned algorithm is not dependent on the sort of correlation between the nodes and canreconstruct the signal with higher accuracy Also a theorem is mathematically is proved toshow the special reconstruction values in reconstructing the proposed algorithm Keywords Wiereless sensor Networks WSNs Compressed sensing Spatio temporalNetworks Lifetime of a network
استاد راهنما :
مهدي مهدوي
استاد داور :
محمد دوست حسيني، مجيد نبي
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