The document summarizes a research paper that proposes using the firefly algorithm to solve the optimization problem of assigning cells to switches in a cellular network. The problem aims to minimize cabling, handoff, and switching costs while meeting constraints of assigning each cell to one switch and not exceeding switch capacities. It formulates the problem mathematically and reviews existing solution methods. The firefly algorithm is then described as inspired by firefly flashing behavior. Experiments applying the firefly algorithm to various network configurations are conducted to test its effectiveness in solving the cell assignment problem.
Power consumption is an important metric tool in the context of the wireless sensor networks
(WSNs). In this paper, we described a new Energy-Degree (EDD) Clustering Algorithm for the
WSNs. A node with higher residual energy and higher degree is more likely elected as a
clusterhead (CH). The intercluster and intracluster communications are realized on one hop.
The principal goal of our algorithm is to optimize the energy power and energy load among all
nodes. By comparing EDD clustering algorithm with LEACH algorithm, simulation results
have showen its effectiveness in saving energy.
E NERGY D EGREE D ISTANCE C LUSTERING A LGORITHM FOR W Snsijwmn
Energy consumption is an important parameter in th
e context of the wireless sensor networks (WSNs).
Several factors can cause energy over consumption s
uch as mobility, node position (relay or gateway),
retransmissions... In this paper, we described a ne
w Energy-Degree Distance(EDD) Clustering Algorithm
for the WSNs. A node with higher residual energy,
higher degree and closer to the base station is mor
e
likely elected as a clusterhead (CH). The inter clu
ster and intra cluster communications are realized
on one
hop. The principal goal of our algorithm is to min
imize the energy consumption and balance energy
consumption among all nodes. By comparing EDD clust
ering algorithm with LEACH algorithm,
simulation results have shown its effectiveness i
n saving energy
ENERGY EFFICIENT ROUTING ALGORITHM FOR MAXIMIZING THE MINIMUM LIFETIME OF WIR...ijasuc
In wireless sensor network, devices or nodes are generally battery powered devices. These nodes have
limited amount of initial energy that are consumed at different rates, depending on the power level. The
lifetime of the network is defined as the time until the first node fails (or runs out of battery). In this paper
different type of energy efficient routing algorithms are discussed and approach of these algorithms is to
maximize the minimum lifetime of wireless sensor network. Special attention has been devoted for
algorithms formulate the routing problem as a linear programming problem, which uses the optimal flow
path for data transmission and gives the optimum results. Advantages, limitations as well as comparative
study of these algorithms are also discussed in this paper.
An Improved Deterministic Energy Efficient Clustering Protocol for Wireless S...IJERA Editor
In recent development, achieving the deployment of nodes, lifetime, fault tolerance, latency, energy efficiency in brief robustness and high reliability have become the prime research goals of wireless sensor network. In recent years many clustering protocols have been suggested on clustering structure based on heterogeneity. We propose improved deterministic energy-efficient clustering protocol for four types of nodes which extend the stability and lifetime of the network in team of first node get dead. Hence, it increases the heterogeneity and energy level of the network. I-DEC performs better than E-SEP, SEP and DEC with more stability and effective messages shows in simulation results.
Power consumption is an important metric tool in the context of the wireless sensor networks
(WSNs). In this paper, we described a new Energy-Degree (EDD) Clustering Algorithm for the
WSNs. A node with higher residual energy and higher degree is more likely elected as a
clusterhead (CH). The intercluster and intracluster communications are realized on one hop.
The principal goal of our algorithm is to optimize the energy power and energy load among all
nodes. By comparing EDD clustering algorithm with LEACH algorithm, simulation results
have showen its effectiveness in saving energy.
E NERGY D EGREE D ISTANCE C LUSTERING A LGORITHM FOR W Snsijwmn
Energy consumption is an important parameter in th
e context of the wireless sensor networks (WSNs).
Several factors can cause energy over consumption s
uch as mobility, node position (relay or gateway),
retransmissions... In this paper, we described a ne
w Energy-Degree Distance(EDD) Clustering Algorithm
for the WSNs. A node with higher residual energy,
higher degree and closer to the base station is mor
e
likely elected as a clusterhead (CH). The inter clu
ster and intra cluster communications are realized
on one
hop. The principal goal of our algorithm is to min
imize the energy consumption and balance energy
consumption among all nodes. By comparing EDD clust
ering algorithm with LEACH algorithm,
simulation results have shown its effectiveness i
n saving energy
ENERGY EFFICIENT ROUTING ALGORITHM FOR MAXIMIZING THE MINIMUM LIFETIME OF WIR...ijasuc
In wireless sensor network, devices or nodes are generally battery powered devices. These nodes have
limited amount of initial energy that are consumed at different rates, depending on the power level. The
lifetime of the network is defined as the time until the first node fails (or runs out of battery). In this paper
different type of energy efficient routing algorithms are discussed and approach of these algorithms is to
maximize the minimum lifetime of wireless sensor network. Special attention has been devoted for
algorithms formulate the routing problem as a linear programming problem, which uses the optimal flow
path for data transmission and gives the optimum results. Advantages, limitations as well as comparative
study of these algorithms are also discussed in this paper.
An Improved Deterministic Energy Efficient Clustering Protocol for Wireless S...IJERA Editor
In recent development, achieving the deployment of nodes, lifetime, fault tolerance, latency, energy efficiency in brief robustness and high reliability have become the prime research goals of wireless sensor network. In recent years many clustering protocols have been suggested on clustering structure based on heterogeneity. We propose improved deterministic energy-efficient clustering protocol for four types of nodes which extend the stability and lifetime of the network in team of first node get dead. Hence, it increases the heterogeneity and energy level of the network. I-DEC performs better than E-SEP, SEP and DEC with more stability and effective messages shows in simulation results.
Microgrids are the solution to the growing demand for energy in the recent times. It has the potential to improve local reliability, reduce cost and increase penetration rates for distributed renewable energy generation. Inclusion of Renewable Energy Systems(RES) which have become the topic of discussion in the recent times due to acute energy crisis, causes the power flow in the microgrid to be bi-directional in nature. The presence of the RES in the microgrid system causes the grid to be reconfigurable. This reconfiguration might also occur due to load or utility grid connection and disconnection. Thus conventional protection strategies are not applicable to micro-grids and is hence challenging for engineers to protect the grid in a fault condition. In this paper various Minimum Spanning Tree(MST) algorithms are applied in microgrids to identify the active nodes of the current topology of the network in a heuristic approach and thereby generating a tree from the given network so that minimum number of nodes have to be disconnected from the network during fault clearance. In the paper we have chosen the IEEE-39 and IEEE-69 bus networks as our sample test systems.
Wireless Ad Hoc Networks comprise a fast developing research area with a vast spectrum of
applications. Wireless sensor network systems enable the reliable monitoring of a variety of environments
for both civil and military applications. The Energy efficiency continues to be a key factor in limiting the
deployability of ad-hoc networks. Deploying an energy efficient system exploiting the maximum lifetime
of the network has remained a great challenge since years. The time period from the instant at which the
network starts functioning to the time instant at which the first network node runs out of energy, i.e. the
network lifetime is largely dependent on the system energy efficiency. In this paper, we look at energy
efficient protocols, which can have significant impact on the lifetime of these networks. The cluster heads
get drain out maximum energy in the wireless ad hoc networks. We propose an algorithm that deals with
minimizing the rate of dissipation of energy of cluster heads. The algorithm LEAD deals with energy
efficient round scheduling of cluster head allocation of nodes and then followed by allocation of nodes to
the cluster heads maximizing network lifetime using ANDA [1, 2]. We compare our results with the
previous works.
Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with T...IJECEIAES
Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions.
DISTRIBUTED COVERAGE AND CONNECTIVITY PRESERVING ALGORITHM WITH SUPPORT OF DI...IJCSEIT Journal
Given a 3D space where should be supervised and a group of mobile sensor actor nodes with limited
sensing and communicating capabilities, this paper aims at proposing a distributed self-deployment
algorithm for agents to cover the space as much as possible by considering non-uniform sensing coverage
degree constraint of environment while preserving connectivity. The problem is formulated as coverage
maximization subject to connectivity and sensing coverage degree constraint. Considering a desired
distance between neighbouring nodes, an error function which depends on pairwise distance between
nodes is described. The maximization is encoded to an error minimization problem that is solved using
gradient descent algorithm and will yield in moving sensors into appropriate positions. Simulation results
are presented in two different conditions that importance of sensing coverage degree support of
environment is very high and is low.
Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for He...chokrio
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.
Transforming an Existing Distribution Network Into Autonomous MICRO-GRID usin...IJERA Editor
A distribution network with renewable and fossil-based resources can be operated as a micro-grid, in autonomous or nonautonomous modes. Autonomous operation of a distribution network requires cautious planning. In this context, a detailed methodology to develop a sustainable autonomous micro-grid is presented in this paper. The proposed methodology suggests novel sizing and siting strategies for distributed generators and structural modifications for autonomous micro-grids. This paper introduces the Particle Swarm Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach. The PSO was inspired from natural behavior of the bees on how they find the location of most flowers. The proposed PSO algorithm is introduced with some modifications such as using an inertia weight that decreases linearly during the simulation. This setting allows the PSO to explore a large area at the start of the simulation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Device Discovery Schemes for Energy-Efficient Cluster Head Rotation in D2DTELKOMNIKA JOURNAL
In this paper, novel device discovery approaches for the cluster head rotation, which is a state-ofthe-
art method for the Device-to-Device communication, are proposed. The device discovery is the
process to detect and to include new devices in the Device-to-Device communication. The proposed
device discovery is aimed to attain energy efficiency for the communication devices. We propose two
schemes for the device discovery: eNB-assisted and independent device discovery. Compared to previous
work, the proposed device discovery is utilizing the cluster head rotation method, to achieve better energy
efficiency. In this work, several simulations were performed and discussed for both schemes. In the first
simulation, the device energy consumption is examined. After that, the number of devices that get rejected
is studied. The device discovery processes in multi cluster head scenario, which is cluster head rotation,
are examined in this paper. The result of the simulation shows that eNB-assisted device discovery can
provide better energy efficiency. Also, the number of rejected devices of the eNB-assisted device
discovery is slightly lower than independent device discovery.
Connected Dominating Set Construction Algorithm for Wireless Sensor Networks ...ijsrd.com
Energy efficiency plays an important role in wireless sensor networks. All nodes in sensor networks are energy constrained. Clustering is one kind of energy efficient algorithm. To organize the nodes in better way a virtual backbone can be used. There is no physical backbone infrastructure, but a virtual backbone can be formed by constructing a Connected Dominating Set (CDS). CDS has a significant impact on an energy efficient design of routing algorithms in WSN. CDS should first and foremost be small. It should have robustness to node failures. In this paper, we present a general classification of CDS construction algorithms. This survey gives different CDS formation algorithms for WSNs.
Microgrids are the solution to the growing demand for energy in the recent times. It has the potential to improve local reliability, reduce cost and increase penetration rates for distributed renewable energy generation. Inclusion of Renewable Energy Systems(RES) which have become the topic of discussion in the recent times due to acute energy crisis, causes the power flow in the microgrid to be bi-directional in nature. The presence of the RES in the microgrid system causes the grid to be reconfigurable. This reconfiguration might also occur due to load or utility grid connection and disconnection. Thus conventional protection strategies are not applicable to micro-grids and is hence challenging for engineers to protect the grid in a fault condition. In this paper various Minimum Spanning Tree(MST) algorithms are applied in microgrids to identify the active nodes of the current topology of the network in a heuristic approach and thereby generating a tree from the given network so that minimum number of nodes have to be disconnected from the network during fault clearance. In the paper we have chosen the IEEE-39 and IEEE-69 bus networks as our sample test systems.
Wireless Ad Hoc Networks comprise a fast developing research area with a vast spectrum of
applications. Wireless sensor network systems enable the reliable monitoring of a variety of environments
for both civil and military applications. The Energy efficiency continues to be a key factor in limiting the
deployability of ad-hoc networks. Deploying an energy efficient system exploiting the maximum lifetime
of the network has remained a great challenge since years. The time period from the instant at which the
network starts functioning to the time instant at which the first network node runs out of energy, i.e. the
network lifetime is largely dependent on the system energy efficiency. In this paper, we look at energy
efficient protocols, which can have significant impact on the lifetime of these networks. The cluster heads
get drain out maximum energy in the wireless ad hoc networks. We propose an algorithm that deals with
minimizing the rate of dissipation of energy of cluster heads. The algorithm LEAD deals with energy
efficient round scheduling of cluster head allocation of nodes and then followed by allocation of nodes to
the cluster heads maximizing network lifetime using ANDA [1, 2]. We compare our results with the
previous works.
Energy Performance of LDPC Scheme in Multi-Hop Wireless Sensor Network with T...IJECEIAES
Conservation of the energy is one of the main design issues in wireless sensor networks. The limited battery power of each sensor node is a challenging task in deploying this type of network. The challenge is crucial in reliable wireless network when implementing efficient error correcting scheme with energy consuming routing protocol. In this work, we investigated the energy performance of LDPC code in multi-hop wireless sensor network. We proposed a model of two base stations to prolong the lifetime and build a reliable and energy-efficient network. Through performed MATLAB simulations, we examine the energy effectiveness of multiple base stations model on reliable wireless sensor network performance in different network dimensions.
DISTRIBUTED COVERAGE AND CONNECTIVITY PRESERVING ALGORITHM WITH SUPPORT OF DI...IJCSEIT Journal
Given a 3D space where should be supervised and a group of mobile sensor actor nodes with limited
sensing and communicating capabilities, this paper aims at proposing a distributed self-deployment
algorithm for agents to cover the space as much as possible by considering non-uniform sensing coverage
degree constraint of environment while preserving connectivity. The problem is formulated as coverage
maximization subject to connectivity and sensing coverage degree constraint. Considering a desired
distance between neighbouring nodes, an error function which depends on pairwise distance between
nodes is described. The maximization is encoded to an error minimization problem that is solved using
gradient descent algorithm and will yield in moving sensors into appropriate positions. Simulation results
are presented in two different conditions that importance of sensing coverage degree support of
environment is very high and is low.
Ameliorate Threshold Distributed Energy Efficient Clustering Algorithm for He...chokrio
Ameliorating the lifetime in heterogeneous wireless sensor network is an important task because the sensor nodes are limited in the resource energy. The best way to improve a WSN lifetime is the clustering based algorithms in which each cluster is managed by a leader called Cluster Head. Each other node must communicate with this CH to send the data sensing. The nearest base station nodes must also send their data to their leaders, this causes a loss of energy. In this paper, we propose a new approach to ameliorate a threshold distributed energy efficient clustering protocol for heterogeneous wireless sensor networks by excluding closest nodes to the base station in the clustering process. We show by simulation in MATLAB that the proposed approach increases obviously the number of the received packet messages and prolongs the lifetime of the network compared to TDEEC protocol.
Transforming an Existing Distribution Network Into Autonomous MICRO-GRID usin...IJERA Editor
A distribution network with renewable and fossil-based resources can be operated as a micro-grid, in autonomous or nonautonomous modes. Autonomous operation of a distribution network requires cautious planning. In this context, a detailed methodology to develop a sustainable autonomous micro-grid is presented in this paper. The proposed methodology suggests novel sizing and siting strategies for distributed generators and structural modifications for autonomous micro-grids. This paper introduces the Particle Swarm Optimization (PSO) algorithm to solve the optimal network reconfiguration problem for power loss reduction. The PSO is a relatively new and powerful intelligence evolution method for solving optimization problems. It is a population-based approach. The PSO was inspired from natural behavior of the bees on how they find the location of most flowers. The proposed PSO algorithm is introduced with some modifications such as using an inertia weight that decreases linearly during the simulation. This setting allows the PSO to explore a large area at the start of the simulation.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Device Discovery Schemes for Energy-Efficient Cluster Head Rotation in D2DTELKOMNIKA JOURNAL
In this paper, novel device discovery approaches for the cluster head rotation, which is a state-ofthe-
art method for the Device-to-Device communication, are proposed. The device discovery is the
process to detect and to include new devices in the Device-to-Device communication. The proposed
device discovery is aimed to attain energy efficiency for the communication devices. We propose two
schemes for the device discovery: eNB-assisted and independent device discovery. Compared to previous
work, the proposed device discovery is utilizing the cluster head rotation method, to achieve better energy
efficiency. In this work, several simulations were performed and discussed for both schemes. In the first
simulation, the device energy consumption is examined. After that, the number of devices that get rejected
is studied. The device discovery processes in multi cluster head scenario, which is cluster head rotation,
are examined in this paper. The result of the simulation shows that eNB-assisted device discovery can
provide better energy efficiency. Also, the number of rejected devices of the eNB-assisted device
discovery is slightly lower than independent device discovery.
Connected Dominating Set Construction Algorithm for Wireless Sensor Networks ...ijsrd.com
Energy efficiency plays an important role in wireless sensor networks. All nodes in sensor networks are energy constrained. Clustering is one kind of energy efficient algorithm. To organize the nodes in better way a virtual backbone can be used. There is no physical backbone infrastructure, but a virtual backbone can be formed by constructing a Connected Dominating Set (CDS). CDS has a significant impact on an energy efficient design of routing algorithms in WSN. CDS should first and foremost be small. It should have robustness to node failures. In this paper, we present a general classification of CDS construction algorithms. This survey gives different CDS formation algorithms for WSNs.
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
detector, and Amplify and Forward (AF) as a relaying strategy. Simulation results show the viability of
our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
detector, and Amplify and Forward (AF) as a relaying strategy. Simulation results show the viability of
our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
EDD CLUSTERING ALGORITHM FOR WIRELESS SENSOR NETWORKScscpconf
Power consumption is an important metric tool in the context of the wireless sensor networks
(WSNs). In this paper, we described a new Energy-Degree (EDD) Clustering Algorithm for the
WSNs. A node with higher residual energy and higher degree is more likely elected as a
clusterhead (CH). The intercluster and intracluster communications are realized on one hop.
The principal goal of our algorithm is to optimize the energy power and energy load among all
nodes. By comparing EDD clustering algorithm with LEACH algorithm, simulation results
have showen its effectiveness in saving energy.
EEIT2-F: energy-efficient aware IT2-fuzzy based clustering protocol in wirel...IJECEIAES
Improving the network lifetime is still a vital challenge because most wireless sensor networks (WSNs) run in an unreached environment and offer almost impossible human access and tracking. Clustering is one of the most effective methods for ensuring that the relevant device process takes place to improve network scalability, decrease energy consumption and maintain an extended network lifetime. Many researches have been developed on the numerous effective clustering algorithms to address this problem. Such algorithms almost dominate on the cluster head (CH) selection and cluster formation; using the intelligent type1 fuzzy-logic (T1-FL) scheme. In this paper, we suggest an interval type2 FL (IT2-FL) methodology that assumes uncertain levels of a decision to be more efficient than the T1-FL model. It is the so-called energy-efficient interval type2 fuzzy (EEIT2-F) low energy adaptive clustering hierarchical (LEACH) protocol. The IT2-FL system depends on three inputs of the residual energy of each node, the node distance from the base station (sink node), and the centrality of each node. Accordingly, the simulation results show that the suggested clustering protocol outperforms the other existing proposals in terms of energy consumption and network lifetime.
Computational Investigation of Asymmetric Coplanar Waveguides Using Neural Ne...Konstantinos Karamichalis
In order to compute the characteristic impedance and the relative effective dielectric constant of an
asymmetric coplanar waveguide with infinite or finite dielectric thickness, the use of artificial neural networks
is valuable. The method of neural computing presented in this paper uses only one neural model for both
parameters, for this specific waveguide type. The BFGS quasi-Newton back-propagation algorithm was used to
train the developed neural network. Numerical results are given for several configurations along with
comparisons with previously published data.
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESijmnct
This paper investigates the application of advanced forward error correction techniques mainly: lowdensity parity checks (LDPC) code and polar code for IoT networks. These codes are under consideration
for 5G systems. Different code parameters such as code rate and a number of decoding iterations are used
to show their effect on the performance of the network. LDPC is performed better than polar code, over the
IoT network scenario considered in the work, for the same coding rate and the number of decoding
iterations. Considering bit error rate (BER) performance, LDPC with rate1/3 provided an improvement of
up to 2.6 dB for additive white Gaussian noise (AWGN) channel, and 2 dB for SUI-3 (frequency selective
fading channel model). LDPC code gives an improvement in throughput of about 12% as compared to
polar code with a coding rate of 2/3 over AWGN channel. The corresponding values over SUI-3 channel
are about 10%. Finally, in comparison with LDPC, polar code shows better energy saving for large
number of decoding iterations and high coding rates.
CODING SCHEMES FOR ENERGY CONSTRAINED IOT DEVICESijmnct_journal
This paper investigates the application of advanced forward error correction techniques mainly: lowdensity parity checks (LDPC) code and polar code for IoT networks. These codes are under consideration for 5G systems. Different code parameters such as code rate and a number of decoding iterations are used
to show their effect on the performance of the network. LDPC is performed better than polar code, over the IoT network scenario considered in the work, for the same coding rate and the number of decoding iterations. Considering bit error rate (BER) performance, LDPC with rate1/3 provided an improvement of
up to 2.6 dB for additive white Gaussian noise (AWGN) channel, and 2 dB for SUI-3 (frequency selective fading channel model). LDPC code gives an improvement in throughput of about 12% as compared to polar code with a coding rate of 2/3 over AWGN channel. The corresponding values over SUI-3 channel
are about 10%. Finally, in comparison with LDPC, polar code shows better energy saving for large number of decoding iterations and high coding rates.
Distributed Spatial Modulation based Cooperative Diversity Schemeijwmn
: In this paper, a distributed spatial modulation based cooperative diversity scheme for relay
wireless networks is proposed. Where, the space-time block code is exploited to integrate with distributed
spatial modulation. Therefore, the interested transmission scheme achieves high diversity gain. By using
Monte-Carlo simulation based on computer, we showed that our proposed transmission scheme outperforms
state-of-the-art cooperative relaying schemes in terms bit error rate (BER) performance.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Analysis of data transmission in wireless lan for 802.11 e2 eteSAT Journals
Abstract The aim of this paper is to investigate the transmission of data between client and server through different IEEE 802.11 wireless LAN multi- HOP network. To improve this issue, the transmission opportunity (TXOP) mechanism is defined in the IEEE 802.11e standard, with which a wireless node can transmit multiple frames consecutively for a maximum channel occupancy time, called TXOP limit. This paper considers the performance of the TXOP mechanism for multi-hop wireless networks. Focusing on a three-node chain topology, we model it as a tandem queuing network with two nodes. The E2ET is derived and the analysis is validated by simulation. Numerical results show that the TXOP mechanism works well for multi-hop wireless networks. It is also shown that adjusting TXOP limit is significantly important in order to increase the overall throughput. In terms of multi-hop wireless networks, there is little analytical work with regard to the E2ET performance. One of the rationales for the analytical difficulty for multi-hop wireless networks is that IEEE 802.11 MAC protocol is too complex to model the behavior of multi-hop frame transmissions. Keywords: IEEE 802.11e, multi-hop wireless LAN, TXOP, E2ET
Solution for intra/inter-cluster event-reporting problem in cluster-based pro...IJECEIAES
In recent years, wireless sensor networks (WSNs) have been considered one of the important topics for researchers due to their wide applications in our life. Several researches have been conducted to improve WSNs performance and solve their issues. One of these issues is the energy limitation in WSNs since the source of energy in most WSNs is the battery. Accordingly, various protocols and techniques have been proposed with the intention of reducing power consumption of WSNs and lengthen their lifetime. Cluster-oriented routing protocols are one of the most effective categories of these protocols. In this article, we consider a major issue affecting the performance of this category of protocols, which we call the intra/inter-cluster event-reporting problem (IICERP). We demonstrate that IICERP severely reduces the performance of a cluster-oriented routing protocol, so we suggest an effective Solution for IICERP (SIICERP). To assess SIICERP’s performance, comprehensive simulations were performed to demonstrate the performance of several cluster-oriented protocols without and with SIICERP. Simulation results revealed that SIICERP substantially increases the performance of cluster-oriented routing protocols.
Efficient power allocation method for non orthogonal multiple access 5G systemsIJECEIAES
One of the hot research topics for the upcoming 5G (fifth-generation) wireless communication networks is the non orthogonal multiple access (NOMA) systems, where it have attracted both industrial and academic fields to improve the existing spectral efficiency. In fact, the multiuser detection process for NOMA systems is largely affected by the power distribution of the received signals. In this paper, a new method has been proposed to control the transmit power among active users in one of the promising NOMA systems; the interleave division multiple access (IDMA) which has been adopted here for consideration. Unlike conventional methods, where tedious mathematical computations are required; a simple and direct method has been derived. The proposed method has been applied to IDMA system with different FEC codes. The obtained results show that the proposed method outperforms the conventional one as compared to optimal results.
Similar to Assignment of cells to switches using firefly (20)
Tech transfer making it as a risk free approach in pharmaceutical and biotech iniaemedu
Tech transfer is a common methodology for transferring new products or an existing
commercial product to R&D or to another manufacturing site. Transferring product knowledge to the
manufacturing floor is crucial and it is an ongoing approach in the pharmaceutical and biotech
industry. Without adopting this process, no company can manufacture its niche products, let alone
market them. Technology transfer is a complicated, process because it is highly cross functional. Due
to its cross functional dependence, these projects face numerous risks and failure. If anidea cannot be
successfully brought out in the form of a product, there is no customer benefit, or satisfaction.
Moreover, high emphasis is in sustaining manufacturing with highest quality each and every time. It
is vital that tech transfer projects need to be executed flawlessly. To accomplish this goal, risk
management is crucial and project team needs to use the risk management approach seamlessly.