2,893 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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An Efficient Routing Algorithm for Optimizing Energy Conservation and Improved Scalability in WSN
Wireless Sensor Network (WSN) is a familiar technique to develop various real-world applications through sensor nodes on wireless networks. Energy efficiency and scalability are the important challenges in WSN, along withsome other parameters such as reliability, availability, and security. The nodes’ path and communication network have been decided based on routing techniques among the network nodes. Classical routing algorithms have improved the efficiency and accuracy of WSN nodes, but it works only in the limited range. The number of nodes is increased in WSN, and security of data transmitted has a lot of limitations in routing. This problem has been considered for a long time, but the level of improvement is only within a short range, not for larger networks and high-volume nodes. This problem has been overcome by an efficient routing algorithm SEERA (Scalable Energy Efficient Routing Algorithm). Familiar routing protocol techniques such as LEACH (Low Energy Adaptive Clustering Hierarchy), Multi-LEACH, CELL-LEACH when compared with this algorithm shows that SEERA provides better security, energy efficiency and scalability. Also, the proposed algorithm uses hybrid MAC protocols along with the clusters communicated in Intra mode on the network. This research paper summarizes the results of SEERA withmore scalable nodes on WSN and also improved their energy efficiency among all nodes
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
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