2,706 research outputs found
Improving on the network lifetime of clustered-based wireless sensor network using modified leach algorithm
Wireless sensor networks (WSNs) composed from a large number of sensor node
with the ability to sense and process data in the physical world in a timely manner.
The sensor nodes contain a battery constraint which limit the network lifetime. Due
to energy constraints, the deployment of WSNs will required advance techniques to
maintain the network lifetime. A clustering based routing algorithm called Low-
Energy Adaptive Clustering Hierarchy (LEACH) was proposed as a solution for low
power consumption. This document is a study about LEACH algorithm where the
implementation was done using OMNeT++ network simulator to study the
performance of this algorithm in term of network lifetime. OMNeT++ was selected
as a simulator because it provides some important features for this project like very
good scalability unlike other simulators do. During this study, LEACH algorithm
shows some drawbacks that need an improvements to overcome it as to improve the
performance. Then, the modified LEACH algorithm was proposed where the
improvement was done in cluster head selection based on LEACH. In cluster head
selection, modified LEACH taking into account the residual energy of each node for
calculation of the threshold value for next round. Meanwhile in LEACH, the cluster
head selection was based on distributed algorithm. Both of these protocols was
implemented in network simulator to compare the performance. This study shows
that there were a better performance achieved by modified LEACH depends on the
results obtained
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From carbon nanotubes and silicate layers to graphene platelets for polymer nanocomposites
In spite of extensive studies conducted on carbon nanotubes and silicate layers for their polymer-based nanocomposites, the rise of graphene now provides a more promising candidate due to its exceptionally high mechanical performance and electrical and thermal conductivities. The present study developed a facile approach to fabricate epoxy–graphene nanocomposites by thermally expanding a commercial product followed by ultrasonication and solution-compounding with epoxy, and investigated their morphologies, mechanical properties, electrical conductivity and thermal mechanical behaviour. Graphene platelets (GnPs) of 3.5
Improved Fair-Zone technique using Mobility Prediction in WSN
The self-organizational ability of ad-hoc Wireless Sensor Networks (WSNs) has
led them to be the most popular choice in ubiquitous computing. Clustering
sensor nodes organizing them hierarchically have proven to be an effective
method to provide better data aggregation and scalability for the sensor
network while conserving limited energy. It has some limitation in energy and
mobility of nodes. In this paper we propose a mobility prediction technique
which tries overcoming above mentioned problems and improves the life time of
the network. The technique used here is Exponential Moving Average for online
updates of nodal contact probability in cluster based network.Comment: 10 pages, 7 figures, Published in International Journal Of Advanced
Smart Sensor Network Systems (IJASSN
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