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العنوان
Development of WSNs efficient routing protocols /
المؤلف
Ali, Mohamed Abdou Mohamed Abdelnabi,
هيئة الاعداد
باحث / محمد عبده محمد عبدالنبى على
مشرف / محمد معوض عبدالسلام
مشرف / عبير توكل خليل
مشرف / حنان محمد عامر
مشرف / احمد حسن يوسف
الموضوع
Computational intelligence.
تاريخ النشر
2024.
عدد الصفحات
online resource (117 pages) :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة
تاريخ الإجازة
1/1/2024
مكان الإجازة
جامعة المنصورة - كلية الهندسة - هندسه الالكترونيات والاتصالات
الفهرس
Only 14 pages are availabe for public view

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from 116

Abstract

The use of wireless sensor networks (WSNs) has increased rapidly in recent years as almost everything around us is becoming smart. Many challenges are facing WSNs, one of them is the energy utilization. In most scenarios, sensor nodes (SNs) are battery powered. Once the battery is exhausted, the SN is treated as a dead node and its coverage area is considered a blind region. Another problem is the mobility of SNs. In many applications, SNs are movable which creates a frequent change in the system’s topology, which may lead to a great reduction in the system’s performance. Building an appropriate routing protocol to handle these problems can significantly increase the system’s performance. An adaptive geometrical clustering routing protocol for mobile WSNs (AGCRP) is introduced. The protocol divides the network into grid-cells, each cell has a forwarder cluster head (FCH), a collector cluster head (CCH), and a set of cluster members (CMs). The CCH collects the data from CMs in its cluster and sends it to the FCH. The FCH then sends the data to the main station (MS). The selection of FCHs and CCHs has done considering parameters such as energy level, distance to the grid center, and average distance relative to CMs. The simulation results show that the suggested method increases the stabilization, lifetime, and throughput of the static environment by about 31%, 34%, and 41% respectively compared with EECRAIFA, and increases the stabilization, and lifetime for dynamic environment by about 74% and 32% respectively compared with DTC-BR.