fa تحلیل مصرف انرژی در شبکه حسگر بی‌سیم با مدل مبتنی برحسگری فشرده مقالات پردازش داده‌های رقمی Paper پژوهشي Research <strong>مهمترین چالش</strong> <strong>در</strong> <strong>شبکه‌های</strong> <strong>حسگر</strong> <strong>بی‌سیم،</strong> <strong>به</strong> <strong>حداقل</strong> <strong>رساندن</strong> <strong>مصرف</strong> <strong>انرژی</strong> <strong>در</strong> <strong>باتری</strong> <strong>گره‌های</strong> <strong>حسگر</strong> <strong>و</strong> <strong>افزایش</strong> <strong>طول</strong> <strong>عمر</strong> <strong>شبکه</strong> <strong>است. یکی</strong> <strong>از</strong> <strong>تکنیک‌های مؤثر در کاهش</strong> <strong>مصرف</strong> <strong>انرژی</strong> <strong>در</strong> <strong>این شبکه‌ها،</strong> <strong>تکنیک</strong> <strong>حسگری</strong> <strong>فشرده</strong> <strong>است که</strong> <strong>با</strong> <strong>کاهش</strong> <strong>داده‌های</strong> <strong>ارسالی،</strong> <strong>موجب کاهش</strong> <strong>مصرف</strong> <strong>انرژی</strong> <strong>در</strong> <strong>شبکه</strong> <strong>می‌گردد.</strong> <strong>از</strong> <strong>طرفی،</strong> <strong>برای</strong> <strong>مقابله</strong> <strong>با</strong> <strong>چالش</strong> <strong>مصرف</strong> <strong>انرژی،</strong> <strong>شناخت</strong> <strong>کامل</strong> <strong>منابع</strong> <strong>مصرف</strong> <strong>انرژی در</strong> <strong>شبکه</strong> <strong>ضروری</strong> <strong>است.</strong> <strong>مدل‌های مختلفی برای تحلیل مصرف انرژی در شبکه حسگر بی‌سیم ارائه شده‌اند، اما مدل کاملی برای تحلیل انرژی مصرفی مبتنی بر حسگری فشرده ارائه نشده است. از</strong> <strong>این</strong> <strong>رو</strong> <strong>وجود</strong> <strong>مدلی</strong> <strong>برای</strong> <strong>تحلیل</strong> <strong>مصرف</strong> <strong>انرژی</strong> <strong>مبتنی</strong> <strong>برحسگری</strong> <strong>فشرده</strong> <strong>ضرورت</strong> <strong>می‌یابد. بر همین اساس، در این مقاله به ارائه مدلی برای تحلیل مصرف انرژی مبتنی بر حسگری فشرده می‌پردازیم.</strong> <strong>این</strong> <strong>مدل</strong> <strong>می‌تواند</strong> <strong>به</strong> <strong>طراحی</strong> <strong>بهینه</strong> <strong>شبکه‌های</strong> <strong>حسگر</strong> <strong>بی‌سیم</strong> <strong>مبتنی</strong> <strong>بر</strong> <strong>حسگری</strong> <strong>فشرده</strong> <strong>با</strong> <strong>رویکرد</strong> <strong>بهبود مصرف</strong> <strong>انرژی</strong> <strong>کمک</strong> <strong>مؤثری</strong> <strong>نماید</strong><span dir="LTR">.</span><br> &nbsp; <strong>Nowadays, wireless sensor networks (WSNs) have found many applications in a variety of topics.</strong> <strong>The main purpose of these networks is to measure environmental phenomena and to send read data in multi-hop paths to the sink to be exploited by users.</strong> <strong>The most important challenge in WSNs is to minimize energy consumption in sensor batteries and increase network lifetime.</strong> <strong>One of the most important techniques for reducing energy consumption in WSNs is the compressive sensing (CS) technique.</strong> <strong>CS reduces network energy consumption by reducing data transmission in the network and increasing the network lifetime.</strong> <strong>The use of CS technique in a WSN results in the production of different models of CS signals. These models are based on spatial, temporal and spatio-temporal sensors readings</strong><strong>.</strong><strong> On the other hand, in order to overcome the challenge of energy consumption, the exact recognition of energy resources in the network is essential.</strong>&nbsp;<br> <strong>Energy consumption in a sensor node can be divided into two parts: (a) the energy used for computing; and (b) the energy consumed by the communication. The energy used for the computing consists of three components: 1. sensor energy consumption (data reading), 2. background energy consumption, and 3. energy consumption for processing.</strong> <strong>The power consumption of the communication includes the following: 1. energy consumption for data transmission; 2. energy consumption for data receiving; 3. energy consumption for sending messages; and 4. energy consumption for receiving messages.</strong> <strong>Hence, the existence of a model for analyzing energy consumption in a CS-based WSN is necessary.</strong> <strong>Several models have been developed to analyze energy consumption in a WSN, but there is not a complete model for analyzing energy consumption in a CS-based WSN.</strong><br> &nbsp;<strong>In this paper, we study all energy consumption components mentioned above in a CS-based WSN and present a complete model for energy consumption analysis. This model can optimize the design of CS-based WSNs energy efficiency improvement approach. To evaluate the proposed model, we use this model to analyze energy consumption in the compressive data gathering technique which is a CS-based data aggregation method. Using this model can optimize the design of CS-based WSNs.</strong> شبکه حسگر بی سیم, حسگری فشرده, مدل انرژی, تحلیل انرژی, تجمیع داده‌های فشرده Wireless sensor network, Compressive sensing, Energy model, Compressive data gathering. 195 210 http://jsdp.rcisp.ac.ir/browse.php?a_code=A-10-1839-1&slc_lang=fa&sid=1 Mohammad Reza Ghaderi محمدرضا قادری st_mr_ghaderi@azad.ac.ir 100319475328460012450 100319475328460012450 Yes Islamic Azad University, South Tehran Branch دانشگاه آزاد اسلامی واحد تهران جنوب Vahid Tabataba Vakili وحید طباطبا وکیلی vakily@iust.ac.ir 100319475328460012451 100319475328460012451 No .92 seconds) Search Results Web results Iran University of Science & Technology دانشکده برق دانشگاه علم و صنعت ایران Mansour Sheikhan منصور شیخان msheikhn@azad.ac.ir 100319475328460012452 100319475328460012452 No Islamic Azad University, South Tehran Branch دانشکده برق دانشگاه آزاد اسلامی واحد تهران جنوب-بلوار آهنگ- گروه مخابرات