This document proposes a resource allocation scheme called BGWA to support scalable video multicast in WiMAX relay networks. BGWA is an extension of the Greedy Weighted Algorithm (GWA) that aims to maximize network throughput or number of satisfied users. BGWA guarantees its performance is lower bounded and runs in polynomial time. It was shown through simulations that BGWA can effectively achieve different performance objectives like maximizing throughput or number of users by adjusting parameters.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Approach to minimizing consumption of energy in wireless sensor networks IJECEIAES
The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...IJERA Editor
Great lifetime and reliability is the key aim of Wireless Sensor Network (WSN) design. As for prolonging
lifetime of this type of network, energy is the most important resource; all recent researches are focused on more
and more energy efficient techniques. Proposed work is Weighted Clustering Approach based on Weighted
Cluster Head Selection, which is highly energy efficient and reliable in mobile network scenario. Weight
calculation using different attributes of the nodes like SNR (Signal to Noise Ratio), Remaining Energy, Node
Degree, Mobility, and Buffer Length gives efficient Cluster Head (CH) on regular interval of time. CH rotation
helps in optimum utilization of energy available with all nodes; results in prolonged network lifetime.
Implementation is done using the NS2 network simulator and performance evaluation is carried out in terms of
PDR (Packet Delivery Ratio), End to End Delay, Throughput, and Energy Consumption. Demonstration of the
obtained results shows that proposed work is adaptable for improving the performance. In order to justify the
solution, the performance of proposed technique is compared with the performance of traditional approach. The
performance of proposed technique is found optimum as compared to the traditional techniques.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Approach to minimizing consumption of energy in wireless sensor networks IJECEIAES
The Wireless Sensor Networks (WSN) technology has benefited from a central position in the research space of future emerging networks by its diversity of applications fields and also by its optimization techniques of its various constraints, more essentially, the minimization of nodal energy consumption to increase the global network lifetime. To answer this saving energy problem, several solutions have been proposed at the protocol stack level of the WSN. In this paper, after presenting a state of the art of this technology and its conservation energy techniques at the protocol stack level, we were interested in the network layer to propose a routing solution based on a localization aspect that allows the creation of a virtual grid on the coverage area and introduces it to the two most well-known energy efficiency hierarchical routing protocols, LEACH and PEGASIS. This allowed us to minimize the energy consumption and to select the clusters heads in a deterministic way unlike LEACH which is done in a probabilistic way and also to minimize the latency in PEGASIS, by decomposing its chain into several independent chains. The simulation results, under "MATLABR2015b", have shown the efficiency of our approach in terms of overall residual energy and network lifetime.
A Novel Weighted Clustering Based Approach for Improving the Wireless Sensor ...IJERA Editor
Great lifetime and reliability is the key aim of Wireless Sensor Network (WSN) design. As for prolonging
lifetime of this type of network, energy is the most important resource; all recent researches are focused on more
and more energy efficient techniques. Proposed work is Weighted Clustering Approach based on Weighted
Cluster Head Selection, which is highly energy efficient and reliable in mobile network scenario. Weight
calculation using different attributes of the nodes like SNR (Signal to Noise Ratio), Remaining Energy, Node
Degree, Mobility, and Buffer Length gives efficient Cluster Head (CH) on regular interval of time. CH rotation
helps in optimum utilization of energy available with all nodes; results in prolonged network lifetime.
Implementation is done using the NS2 network simulator and performance evaluation is carried out in terms of
PDR (Packet Delivery Ratio), End to End Delay, Throughput, and Energy Consumption. Demonstration of the
obtained results shows that proposed work is adaptable for improving the performance. In order to justify the
solution, the performance of proposed technique is compared with the performance of traditional approach. The
performance of proposed technique is found optimum as compared to the traditional techniques.
P LACEMENT O F E NERGY A WARE W IRELESS M ESH N ODES F OR E-L EARNING...IJCI JOURNAL
Energy efficiency solutions are more vital for Gree
n Mesh Network (GMN) campuses. Today students are
benefited using these e-learning methodologies. Ren
ewable energies such as solar, wind, hydro has
tremendous applications on energy efficient wireles
s networks for sustaining the ever growing traffic
demands. One of the major issues in designing a GMN
is minimizing the number of deployed mesh routers
and gateways and satisfying the sustainable QOS bas
ed energy constraints. During low traffic periods t
he
mesh routers are switched to power save or sleep mo
de. In this paper we have mathematically formulated
a
single objective function with multi constraints to
optimize the energy. The objective is to place min
imum
number of Mesh routers and gateways in a set of can
didate location. The mesh nodes are powered using
the solar energy to meet the traffic demands. Two g
lobal optimisation algorithms are compared in this
paper to optimize the energy sustainability, to gua
rantee seamless connectivity
The paper presents a technique called as Mobility-enabled Multi Level Optimization (MeMLO) that addressing the existing problem of clustering in wireless sensor net-work (WSN). The technique enables selection of aggregator node based on multiple optimi-zation attribute which gives better decision capability to the clustering mechanism by choosing the best aggregator node. The outcome of the study shows MeMLO is highly capable of minimizing the halt time of mobile node that significantly lowers the transmit power of aggregator node. The simulation outcome shows negligible computational com-plexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This book is a blend of history and fiction for a readable personified presentation of the Hindu mindset which appeared in the later half of the nineteenth century, after the demise of the Mughal Empire and the end of the Muslim rule in India.
It is a saga in a racy narrative of the life and time of a man who was extraordinarily intelligent, an intrepid fighter for his convictions, a master strategist and a fearless nationalist personifying the Hindu psyche of the post-Mughal renaissance period seeking inspiration from Chanakya’s Takshashila.
P LACEMENT O F E NERGY A WARE W IRELESS M ESH N ODES F OR E-L EARNING...IJCI JOURNAL
Energy efficiency solutions are more vital for Gree
n Mesh Network (GMN) campuses. Today students are
benefited using these e-learning methodologies. Ren
ewable energies such as solar, wind, hydro has
tremendous applications on energy efficient wireles
s networks for sustaining the ever growing traffic
demands. One of the major issues in designing a GMN
is minimizing the number of deployed mesh routers
and gateways and satisfying the sustainable QOS bas
ed energy constraints. During low traffic periods t
he
mesh routers are switched to power save or sleep mo
de. In this paper we have mathematically formulated
a
single objective function with multi constraints to
optimize the energy. The objective is to place min
imum
number of Mesh routers and gateways in a set of can
didate location. The mesh nodes are powered using
the solar energy to meet the traffic demands. Two g
lobal optimisation algorithms are compared in this
paper to optimize the energy sustainability, to gua
rantee seamless connectivity
The paper presents a technique called as Mobility-enabled Multi Level Optimization (MeMLO) that addressing the existing problem of clustering in wireless sensor net-work (WSN). The technique enables selection of aggregator node based on multiple optimi-zation attribute which gives better decision capability to the clustering mechanism by choosing the best aggregator node. The outcome of the study shows MeMLO is highly capable of minimizing the halt time of mobile node that significantly lowers the transmit power of aggregator node. The simulation outcome shows negligible computational com-plexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm.
Energy efficient wireless sensor networks using linear programming optimizati...LogicMindtech Nologies
NS2 Projects for M. Tech, NS2 Projects in Vijayanagar, NS2 Projects in Bangalore, M. Tech Projects in Vijayanagar, M. Tech Projects in Bangalore, NS2 IEEE projects in Bangalore, IEEE 2015 NS2 Projects, WSN and MANET Projects, WSN and MANET Projects in Bangalore, WSN and MANET Projects in Vijayangar
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
This book is a blend of history and fiction for a readable personified presentation of the Hindu mindset which appeared in the later half of the nineteenth century, after the demise of the Mughal Empire and the end of the Muslim rule in India.
It is a saga in a racy narrative of the life and time of a man who was extraordinarily intelligent, an intrepid fighter for his convictions, a master strategist and a fearless nationalist personifying the Hindu psyche of the post-Mughal renaissance period seeking inspiration from Chanakya’s Takshashila.
A resource allocation scheme for scalable video multicast in wi max relay net...ecway
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Ieee transactions 2018 on wireless communications Title and Abstracttsysglobalsolutions
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Wireless mesh networks offer high bandwidth Internet access for mobile users anywhere and at any time.
It is an emerging technology that uses wireless multi-hop networking to provide a cost-efficient way for
community or enterprise users to have broadband Internet access and share network resource. In this paper,
we have tried to give a comparative analysis of various Gateway Placement approaches which can be
helpful in understanding which approach will be useful in which situation.
Delay optimal broadcast for multihop wireless networks using self-interferenc...
Dotnet a resource allocation scheme for scalable video multicast in wi max relay networks
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A RESOURCE ALLOCATION SCHEME FOR SCALABLE VIDEO MULTICAST
IN WIMAX RELAY NETWORKS
ABSTRACT:
This paper proposes the first resource allocation scheme in the literature to support scalablevideo multicast for WiMAX relay networks. We prove that when the available bandwidth is
limited, the bandwidth allocation problems of 1) maximizing network throughput and 2)
maximizing the number of satisfied users are NP-hard. To find the near-optimal solutions to this
type of maximization problem in polynomial time, this study first proposes a greedy weighted
algorithm, GWA, for bandwidth allocation. By incorporating table-consulting mechanisms, the
proposed GWA can intelligently avoid redundant bandwidth allocation and thus accomplish high
network performance (such as high network throughput or large number of satisfied users).
The high performance gained by GWA and simultaneously improves its worst case performance;
this study extends GWA to a bounded version, BGWA, which guarantees that its performance
gains are lower bounded. This study shows that the computational complexity of BGWA is also
in polynomial time and proves that BGWA can provide at least 1/ρ times the performance of the
optimal solution, where rho is a finite value no less than one. Finally, simulation results show
that the proposed BGWA bandwidth allocation scheme can effectively achieve different
performance objectives with different parameter settings.
