Supporting Self-Organization with Logical-Clustering Towards Autonomic Management of Internet-of-Things

Abstract

One of the challenges for autonomic management in Future Internet is to bring about self-organization in a rapidly changing environment and enable participating nodes to be aware and respond to changes. The massive number of participating nodes in Internet-of-Things calls for a new approach in regard of autonomic management with dynamic self-organization and enabling awareness to context information changes in the nodes themselves. To this end, we present new algorithms to enable self-organization with logical-clustering, the goal of which is to ensure that logical-clustering evolves correctly in the dynamic environment. The focus of these algorithms is to structure logical-clustering topology in an organized way with minimal intervention from outside sources. The correctness of the proposed algorithm is demonstrated on a scalable IoT platform, MediaSense. Our algorithms sanction 10 nodes to organize themselves per second and afford high accuracy of nodes discovery. Finally, we outline future research challenges towards autonomic management of IoT.

Authors and Affiliations

Hasibur Rahman, Theo Kanter, Rahim Rahmani

Keywords

Related Articles

Hybrid Texture based Classification of Breast Mammograms using Adaboost Classifier

Breast cancer is one of the most dangerous, leading and widespread cancers in the world especially in women. For breast analysis, digital mammography is the most suitable tool used to take mammograms for detection of can...

Extracting Topics from the Holy Quran Using Generative Models

The holy Quran is one of the Holy Books of God. It is considered one of the main references for an estimated 1.6 billion of Muslims around the world. The Holy Quran language is Arabic. Specialized as well as non-speciali...

Comparison of 2D and 3D Local Binary Pattern in Lung Cancer Diagnosis

  Comparative study between 2D and 3D Local Binary Patter (LBP) methods for extraction from Computed Tomography (CT) imagery data in lung cancer diagnosis is conducted. The lung image classification is performed usi...

Dynamic Approach To Enhance Performance Of Orthogonal Frequency Division Multiplexing(OFDM) In A Wireless Communication Network

In the mobile radio environment, signals are usually impaired by fading and multipath delay phenomenon. This work modeled and simulates OFDM in a wireless environment, it also illustrates adaptive modulation and coding...

Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System

Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges. Energy conservation plays a fundamental role in WSNs since such sensor networks are designed to be loca...

Download PDF file
  • EP ID EP137479
  • DOI 10.14569/IJACSA.2015.060204
  • Views 124
  • Downloads 0

How To Cite

Hasibur Rahman, Theo Kanter, Rahim Rahmani (2015). Supporting Self-Organization with Logical-Clustering Towards Autonomic Management of Internet-of-Things. International Journal of Advanced Computer Science & Applications, 6(2), 24-33. https://europub.co.uk/articles/-A-137479