Wireless sensor networks lifetime enhancement based on clustering techniques

العناوين الأخرى

زيادة عمر شبكات الاستشعار اللاسلكية بالارتكاز على تقنيات التجزئة

مقدم أطروحة جامعية

al-Qarallah, Sana Muhammad Murshid

مشرف أطروحة جامعية

al-Jaafirah, Yusuf Ghazi

أعضاء اللجنة

al-Sarayirah, Umar Aqil
al-Zubi, Khalid Samarah
al-Matarnih, Asir Muhammad Zayid

الجامعة

جامعة مؤتة

الكلية

كلية الهندسة

القسم الأكاديمي

قسم الهندسة الكهربائية

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2016

الملخص الإنجليزي

Wireless Sensor Networks (WSNs), are fast evolving technology, which consists of a large number of microchips with limited energy resources, gather data from different kinds of environment.

Energy efficiency and network lifetime are two main challenges that most of researchers have considered recently.

In this thesis, we focus on improving wireless sensor network lifetime and energy efficiency via clustering techniques in an efficient way.

To improve the performance of sensor networks an energy efficient algorithm using controlled mobile sink is presented.

We studied a competitive clustering algorithm in which cluster heads are chosen based on their residual energy and competition range.

A mobile sink is utilized rather than a fixed one, where the mobile sinks move through a certain routs with a constant speed to gather data.

The inter-cluster routing algorithm is also proposed among cluster heads using multi-hop or single-hop scheme.

Results obtained in this thesis using both analytical and simulated techniques are demonstrated.

The results show that the proposed algorithm extended life time of the network by 12% more than in LEACH.

Furthermore, the received number of packets in LEACH is lower than that in the suggested algorithm.

Thus, the behavior of the suggested algorithm is better than the behavior of LEACH, where the suggested algorithm enhances the throughput, lengthens the lifetime and preserves power

التخصصات الرئيسية

هندسة الاتصالات

عدد الصفحات

64

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-731807