0% Complete
فارسی
Home
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Energy–Aware Clustering Routing Protocol to Improve the Multi-hop WSN Lifetime
Authors :
Alireza Gholamrezaee
1
Hoda Gholamrezaee
2
Mahtab Hadiyan
3
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.
Papers List
List of archived papers
A Novel Resource Allocation Scheme for Underlaying NOMA-Based Multi-Channel Cognitive D2D Communications
Anahita Akbari - Dr Javad Zeraatkar Moghaddam - Dr Mehrdad Ardebilipour
Simulanteus Load Balancing of Servers and Controllers in SDN-based IoMT
Somaye Imanpour - Ahmadreza Montazerolghaem - Saeed Afahari
Using Trust Statements and Ratings by GraphSAGE to Alleviate Cold Start in Recommender Systems
Seyedeh Niusha Motevallian - Dr Seyed Mohammad Hossein Hasheminejad
SDN-based Deep Anomaly Detection For Securing Cloud Gaming Servers
Mohammadreza Ghafari - Dr Seyed Mostafa Safavi Hemami
Mode Selection and Resource Allocation in D2D-Enabled MC-NOMA using Matching Theory
Alireza Gholamrezaee - Hamid Farrokhi - Javad Zeraatkar Moghaddam
یک روش کارآمد جهت تشخیص آنلاین حملات DRDoS به سرویس های مبتنی بر UDP درمعماری SDN با استفاده از الگوریتم های یادگیری ماشین
میترا اکبری کهنه شهری - دکتر رضا محمدی - دکتر محمد نصیری میترا اکبری کهنه شهری - رضا محمدی - محمد نصیری -
طراحی و کنترل تطبیقی اورتز رباتیک پایین تنه با استفاده کنترلر منطقی قابل برنامه ریزی و رابط انسان با ماشین
فرهاد عظیمی فر - ستایش کرمی - نیایش امینی
Improving Training Stability in Variational Autoencoders Through the Integration of Score Matching Loss
Amirreza Mokhtari Rad - Pouya Ardehkhani - Hormehr Alborzi
Sustainability analysis and improvement of model driven engineering and model transformation languages
Kevin Lano - Shekoufeh Kolahdouz Rahimi
Short-Term Traffic Flow Prediction Based on a Recurrent Deep Neural Networks: Study in Tehran
Dr Monireh عبدوس - Taha Vajed Samei
more
Samin Hamayesh - Version 41.3.1