International Conference on Information and Knowledge Technology

فارسی

Home / چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش

Energy–Aware Clustering Routing Protocol to Improve the Multi-hop WSN Lifetime

Authors :

Alireza Gholamrezaee¹ Hoda Gholamrezaee² Mahtab Hadiyan³

1- University of Birjand 2- University of Shiraz 3- University of Isfahan

Keywords :

energy/workload-aware،CH selection،clustering protocol،routing protocol،WSN

Abstract :

One of the most important technologies for communication layers in the Internet of Things (IoTs) is wireless sensor networks (WSNs) [1]. WSN includes a large number of low-power and low-cost sensors with small size and wireless communication capability. However, due to the sensors limited energy resources, the problem of energy consumption and consequently the lifetime of these networks is one of the major challenges of the WSNs. Therefore, in this paper, we propose an energy/workload -aware and distance-based clustering and cluster head (CH) selection method and then propose an energy-aware and distance-based multi-hop routing strategy. Our goal is to reduce energy consumption and increase the lifespan of sensors, and as a result, increase the stability of the network. The results of the simulation indicate that the proposed methods decrease the energy consumption of the data transmission and increases the lifetime of the sensors and increases the stability of the WSN.

List of archived papers

Scattering Wavelet-Based Image Quality Assessment Metric for Medical Images

Sina Omidvar - Jamshid Shanbehzadeh

A Novel Resource Allocation Scheme for Underlaying NOMA-Based Multi-Channel Cognitive D2D Communications

Anahita Akbari - Dr Javad Zeraatkar Moghaddam - Dr Mehrdad Ardebilipour

A Blockchain-Based Smart Contract Framework for Peer-to-Peer Energy Trading in Smart Grids

Hossein Shahinzadeh - Farshad Ebrahimi - S. Mohammadali Zanjani - Amirafshin Zamani - Saiedeh Mehrabani-Najafabadi - Gevork B. Gharehpetian

بررسی تأثیر استقرار استاندارد COBIT در افزایش بهره وری سازمان‌ها (مطالعه موردی: شعب نمایندگی‌های همراه اول، ایرانسل، رایتل)

دکتر محمد ابراهیم سمیع - ساره رحمانیان محمد ابراهیم سمیع - ساره رحمانیان -

پیش‌بینی حجم ترافیک شهری با استفاده از داده‌های سرویس نشان مورد مطالعاتی: خیابان کمال اصفهان

مهسا لطیفی - جمشید مالکی

Predictive Maintenance using LSTM and Adaptive Windowing

Aien Ghanbari Adivi - Behrouz Shahgholi Ghahfarokhi

پیاده سازی سیستم پیش بیمارستانی یافت آمبولانس مناسب در محیط رایانش ابری با استفاده از شبیه ساز کلودسیم

ریحانه حسن رحیمی - فهیمه یزدان پناه

Identifying Children's Personality Styles through Drawing Analysis using Machine Learning

Maedeh Mosharraf - Faezeh Banabazi

Embedded speech encoder for low-resource languages

Alireza A.Tabatabaei - Pouria Sameti - Ali Bohlooli

توسعه ی کارآفرینی دیجیتال در بخش کشاورزی

شایان مظاهری - فاطمه قربانی پیرعلیدهی - فاطمه رزاقی بورخانی

more

Samin Hamayesh - Version 43.8.0