ENERGY EFFICIENT BASED ARTIFICIAL BEE COLONY ALGORITHM FOR THE INTERNET OF THINGS
Abstract
vioft2nntf2t|tblJournal|Abstract_paper|0xf4fff3972b0000009f24060001000700
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
Yearly Full Views
JanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOctoberNovemberDecember
000000000100
Published By :
ICTACT
Published In :
ICTACT Journal on Data Science and Machine Learning
( Volume: 1 , Issue: 4 , Pages: 109-111 )
Date of Publication :
September 2020
Page Views :
145
Full Text Views :
1

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.