Search Paper
  • Home
  • Login
  • Categories
  • Post URL
  • Academic Resources
  • Contact Us

 

INCREASE THE LIFETIME OF WIRELESS SENSOR NETWORKS USING HIERARCHICAL CLUSTERING WITH CLUSTER TOPOLOGY PRESERVATION

google+
Views: 25                 

Author :  Javad Baqeri, Ali Sedighimanesh and Mohammad Sedighimanesh

Affiliation :  Islamic Azad University of Qazvin Qom

Country :  Iran

Category :  Wireless Sensor Networks

Volume, Issue, Month, Year :  8, 5, October, 2016

Abstract :


Wireless sensor networks consist of hundreds or thousands of nodes with limited energy. Since the life time of each sensor is equivalent to the battery life, the energy issue is considered as a major challenge. Clustering has been proposed as a strategy to extend the lifetime of wireless sensor networks. Cluster size, number of Cluster head per cluster and the selection of cluster head are considered as important factors in clustering. In this research by studying LEACH algorithm and optimized algorithms of this protocol and by evaluating the strengths and weaknesses, a new algorithm based on hierarchical clustering to increase the lifetime of the sensor network is proposed. In this study, with a special mechanism the environment of network is layered and the optimal number of cluster head in each layer is selected and then recruit for the formation of clusters in the same layer by controlling the topology of the clusters is done independently. Then the data is sent through the by cluster heads through the multi- stage to the main station. Simulation results show that the above mentioned method increases the life time about 70% compared to the LEACH.

Keyword :  wireless sensor network, lifetime, hierarchical clustering, cluster heads, cluster topology, multiple hop

Journal/ Proceedings Name :  International Journal of Wireless & Mobile Networks (IJWMN)

URL :  https://aircconline.com/ijwmn/V8N5/8516ijwmn02.pdf

User Name : IJWMN
Posted 19-08-2026 on 19:07:59 AEDT



Related Research Work

  • Ai-driven Automated Slide Generation And Transcript-based Feedback For Enhancing Teaching Efficiency And Quality
  • An Adaptive System To Assist Stroke Patient Rehabilitation Using Wearable Sensors And Interactive Games
  • A Cost-effective Wearable & Mobile System Delivering Real-time Resistance-training Feedback Via Edge Cnns And Bluetooth Le
  • Guardride: Ai-driven Fatigue And Collision Detection For Micromobility Safety Using Wearable And Smartphone Sensors

About Us | Post Cfp | Share URL Main | Share URL category | Post URL
All Rights Reserved @ Call for Papers - Conference & Journals