ENERGY EFFICIENT BASED ARTIFICIAL BEE COLONY ALGORITHM FOR THE INTERNET OF THINGS

ICTACT Journal on Data Science and Machine Learning ( Volume: 1 , Issue: 4 )

Abstract

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In this paper, we introduce a Bee Swarm Optimization (BSO) algorithm to analyse current security and energy usage end-to-end in order to discuss its shortcomings in view of the IoT scenarios. Subsequently, suggest alternative collaborative methods for main institutions to reduce the criteria of the latest security protocols. This thesis covers a wide variety of ideas connected by IoT, autonomy, energy efficiency and protection. The design of energy-efficient main protocols for developing IoT communications between peers with numerous resources is currently carried out with clearly heterogeneous capacities. Because of the poor capacity of sensor nodes, energy efficiency was an important issue in WSNs. Finally, a thorough assessment findings for energy usage, connectivity and protection are evaluated that illustrate the pertinence of the main environment and the BSO solution suggested.

Authors

K Anand
Noorul Islam Centre for Higher Education, India

Keywords

Wireless Sensor Networks, Internet of Things, Energy Efficiency, End-to-End Security

Published By
ICTACT
Published In
ICTACT Journal on Data Science and Machine Learning
( Volume: 1 , Issue: 4 )
Date of Publication
September 2020
Pages
109-111
DOI

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