Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited computation, communication, memory, and energy resources that are being used fora huge range of applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes.
In this paper improvements in various parameters are compared for three different routing algorithms. First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation
protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are compared with respect to various parameters
%0 Journal Article
%1 ravikiran12018improvements
%A Ravikiran1, D. Naga
%A Dethe, C.G.
%D 2018
%E Meghanathan, Natarajan
%J International Journal of Computer Networks & Communications (IJCNC)
%K , Artificial Bee Clustering, Colony, Fuzzy LEACH, Network Sensor Wireless logic system.
%N 2
%P 23-32
%R 10.5121/ijcnc.2018.10203
%T Improvements in Routing Algorithms to Enhance Lifetime of Wireless Sensor Networks
%U http://airccse.org/journal/ijc2018.html
%V 10
%X Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited computation, communication, memory, and energy resources that are being used fora huge range of applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes.
In this paper improvements in various parameters are compared for three different routing algorithms. First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation
protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are compared with respect to various parameters
@article{ravikiran12018improvements,
abstract = {Wireless sensor network (WSN) brings a new paradigm of real-time embedded systems with limited computation, communication, memory, and energy resources that are being used fora huge range of applications. Clustering in WSNs is an effective way to minimize the energy consumption of sensor nodes.
In this paper improvements in various parameters are compared for three different routing algorithms. First, it is started with Low Energy Adaptive Cluster Hierarchy (LEACH)which is a famed clustering mechanism that elects a CH based on the probability model. Then, work describes a Fuzzy logic system initiated CH selection algorithm for LEACH. Then Artificial Bee Colony (ABC)which is an optimisation
protocol owes its inspiration to the exploration behaviour of honey bees. In this study ABC optimization algorithm is proposed for fuzzy rule selection. Then, the results of the three routing algorithms are compared with respect to various parameters},
added-at = {2018-04-12T03:03:38.000+0200},
author = {Ravikiran1, D. Naga and Dethe, C.G.},
biburl = {https://www.bibsonomy.org/bibtex/22bc89a5ee1843ef5e326d6922c4c78e8/laimbee},
doi = {10.5121/ijcnc.2018.10203},
editor = {Meghanathan, Natarajan},
interhash = {76b05db4b1fb0eed069bf1901700b6ac},
intrahash = {2bc89a5ee1843ef5e326d6922c4c78e8},
issn = {09749322},
journal = {International Journal of Computer Networks & Communications (IJCNC)},
keywords = {, Artificial Bee Clustering, Colony, Fuzzy LEACH, Network Sensor Wireless logic system.},
language = {English},
month = {March},
number = 2,
pages = {23-32},
timestamp = {2018-04-12T03:03:38.000+0200},
title = {Improvements in Routing Algorithms to Enhance Lifetime of Wireless Sensor Networks},
url = {http://airccse.org/journal/ijc2018.html},
volume = 10,
year = 2018
}