Energy-Efficient Overload Control Algorithm to Parlay Gateway in Next-Generation Electric Power Communication Networks

2013 ◽  
Vol 765-767 ◽  
pp. 1844-1848
Author(s):  
Wei Zhe Ma ◽  
Yue Hua Li ◽  
Man Rui Song ◽  
Fan Bo Meng
Keyword(s):  
Communication Network ◽  
Energy Efficiency ◽  
Electric Power ◽  
Communication Networks ◽  
Energy Efficient ◽  
Control Algorithm ◽  
Ant Colony Algorithm ◽  
Next Generation ◽  
Overload Control ◽  
Simulation Results

This paper studies the overload control problem of the Parlay gateway in next-generation electric power communication network. First, this paper analyses the effectiveness and fairness of the overload control of the Parlay gateway. And then taking the energy efficiency of the electric power communication network as target, we establish the optimization model of energy efficiency overload control. Thirdly, we put forward an energy efficiency overload control algorithm based on the ant colony algorithm. Simulation results show that our algorithm is feasible and effective.

A Simulated Annealing-Based Overload Control Algorithm to Application Servers in Next Generation Electric Communication Networks

2013 ◽  
Vol 765-767 ◽  
pp. 2637-2640
Author(s):  
Zheng Pang ◽  
Gang Liu ◽  
Wei Zhe Ma ◽  
Fan Bo Meng
Keyword(s):  
Energy Efficiency ◽  
Simulated Annealing ◽  
Communication Networks ◽  
Rate Control ◽  
Control Algorithm ◽  
Simulated Annealing Algorithm ◽  
Optimal Solution ◽  
Next Generation ◽  
Overload Control ◽  
Annealing Algorithm

We study the overload control problem of application server in the next generation electric communication network in this paper. We introduce an energy efficiency overload control algorithm based on simulated annealing. Firstly, by considering the overload control and energy efficiency, we construct the relations function between the input rate control and energy efficiency using rate allocation. Then, we construct the optimal overload control model of energy efficiency by regarding this relation function as objective function and overload control as constraint conditions. Thirdly, we use simulated annealing algorithm to solve this model, and then obtain the optimal solution during the iterative process. The simulation results show that our algorithm is feasible and effective.

A Genetic Algorithm-Based Energy-Efficient QoS Classification Method in Next Generation Electric Power Communication Networks

2013 ◽  
Vol 422 ◽  
pp. 266-272
Author(s):  
Yong Xia ◽  
Wei Zhe Ma ◽  
Man Rui Song ◽  
Fan Bo Meng
Keyword(s):  
Genetic Algorithm ◽  
Communication Network ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Electric Power ◽  
Packet Loss ◽  
Rapid Development ◽  
Loss Ratio ◽  
Next Generation ◽  
Packet Loss Ratio

With the rapid development of the information and communication technology (ICT) and the considerable increasing of the network business, the energy consumption of the network equipments improves continually. Thus building the technology of the next generation electric power communication network based on energy efficiency has become the research focus of the current electric power communication field. This paper researches the problem of the QoS graded optimization in the next generation electric power communication network. First of all, we discuss the network model of the networks QoS graded optimization, and analyze the delay and the packet loss ratio in time-variant networks. Secondly, we introduce the mathematical description of the throughput capacity and the energy consumption in time-variant networks and build the optimizing model of the energy efficiency which describes the networks QoS classification through considering the QoS constraints such as the networks delay and packet loss ratio etc. Thirdly, we propose using Genetic Algorithm to solve the model and find the QoS classes which make the networks reach the maximum energy efficiency through iterative optimization. Finally, the simulation results indicate the method proposed in this paper is available.

Artificial Fish Swarm-Based Energy-Efficient QoS Classification Algorithm to Next Generation Electric Power Communication Networks

2013 ◽  
Vol 392 ◽  
pp. 857-861 ◽  
Author(s):  
Fan Bo Meng ◽  
Hong Hao Zhao ◽  
Qing Qi Zhao ◽  
Wei Zhe Ma ◽  
Ying Cao ◽  
...  
Keyword(s):  
Electric Power ◽  
Communication Networks ◽  
Packet Loss ◽  
Energy Efficient ◽  
Optimization Method ◽  
Loss Ratio ◽  
Next Generation ◽  
Packet Loss Ratio ◽  
Artificial Fish Swarm Algorithm ◽  
Artificial Fish Swarm

This paper studies the problem of QoS graded optimization in the next generation electric power communication network and proposes an energy-efficient QoS graded optimization method based on artificial fish swarm algorithm. Firstly, this paper discusses the networks model of the QoS graded optimization and describes the networks model using delay and packet loss ratio in time-variant network. Secondly, we set up the model of networks throughput and energy consumption using the characteristics of delay and packet loss ratio in time-variant network. Finally, simulation results show that our approach is effective.

scholarly journals Self-organizing topology for energy-efficient ad-hoc communication networks of mobile devices

2020 ◽  
Author(s):  
Indushree Banerjee ◽  
Martijn Warnier ◽  
Frances M. T Brazier
Keyword(s):  
Communication Network ◽  
Mobile Devices ◽  
Communication Networks ◽  
Energy Efficient ◽  
Ad Hoc ◽  
Preferential Attachment ◽  
Scale Free ◽  
Simulated Environment ◽  
Adaptive Topology ◽  
Hoc Networks

Abstract When physical communication network infrastructures fail, infrastructure-less communication networks such as mobile ad-hoc networks (MANET), can provide an alternative. This, however, requires MANETs to be adaptable to dynamic contexts characterized by the changing density and mobility of devices and availability of energy sources. To address this challenge, this paper proposes a decentralized context-adaptive topology control protocol. The protocol consists of three algorithms and uses preferential attachment based on the energy availability of devices to form a loop-free scale-free adaptive topology for an ad-hoc communication network. The proposed protocol has a number of advantages. First, it is adaptive to the environment, hence applicable in scenarios where the number of participating mobile devices and their availability of energy resources is always changing. Second, it is energy-efficient through changes in the topology. This means it can be flexibly be combined with different routing protocols. Third, the protocol requires no changes on the hardware level. This means it can be implemented on all current phones, without any recalls or investments in hardware changes. The evaluation of the protocol in a simulated environment confirms the feasibility of creating and maintaining a self-adaptive ad-hoc communication network, consisting of multitudes of mobile devices for reliable communication in a dynamic context.

scholarly journals Exploiting Data-dependencies in Ultra Low-power DSP Arithmetic

VLSI Design ◽  
2001 ◽  
Vol 12 (3) ◽  
pp. 349-363
Author(s):  
V. A. Bartlett ◽  
E. Grass
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Low Power ◽  
Energy Efficient ◽  
Dynamic Logic ◽  
Low Power Consumption ◽  
Ultra Low Power ◽  
Data Dependencies ◽  
Simulation Results ◽  
Asynchronous Environments

Strategies for the design of ultra low power multipliers and multiplier-accumulators are reported. These are optimized for asynchronous applications being able to take advantage of data-dependent computation times. Nevertheless, the low power consumption can be obtained in both synchronous and asynchronous environments. Central to the energy efficiency is a dynamic-logic technique termed Conditional Evaluation which is able to exploit redundancies within the carry-save array and deliver energy consumption which is also heavily data-dependent.Energy efficient adaptations for handling two's complement operands are introduced. Area overheads of the proposed designs are estimated and transistor level simulation results of signed and unsigned multipliers as well as a signed multiplier-accumulator are given.Normalized comparisons with other designs show our approach to use less energy than other published multipliers.

scholarly journals Power Beacon-Assisted Energy Harvesting in a Half-Duplex Communication Network under Co-Channel Interference over a Rayleigh Fading Environment: Energy Efficiency and Outage Probability Analysis

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2579 ◽  
Author(s):  
Van-Duc Phan ◽  
Tan N. Nguyen ◽  
Minh Tran ◽  
Tran Thanh Trang ◽  
Miroslav Voznak ◽  
...  
Keyword(s):  
Communication Network ◽  
Energy Efficiency ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Communication Networks ◽  
Rayleigh Fading ◽  
Primary System ◽  
Wireless Communication Networks ◽  
Half Duplex ◽  
Analytical Expressions

In this time, energy efficiency (EE), measured in bits per Watt, has been considered as an important emerging metric in energy-constrained wireless communication networks because of their energy shortage. In this paper, we investigate power beacon assisted (PB) energy harvesting (EH) in half-duplex (HD) communication network under co-channel Interferer over Rayleigh fading environment. In this work, we investigate the model system with the time switching (TS) protocol. Firstly, the exact and asymptotic form expressions of the outage probability (OP) are analyzed and derived. Then the system EE is investigated and the influence of the primary system parameters on the system performance. Finally, we verify the correctness of the analytical expressions using Monte Carlo simulation. Finally, we can state that the simulation and analytical results are the same.

scholarly journals Performance Evaluation of Zone-Based Routing with Hierarchical Routing in Wireless Sensor Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Rab Nawaz Jadoon ◽  
WuYang Zhou ◽  
Iftikhar Ahmed Khan ◽  
Muhammad Amir Khan ◽  
Shahbaz Akhtar Abid ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Hierarchical Routing ◽  
Battery Power ◽  
Simulation Based ◽  
Simulation Results ◽  
Static Clustering

Routing remains a most challenging task in sensor networks because of constrained resources like battery power, processing, and memory. Many energy efficiency techniques for the sensor networks have been proposed, among which hierarchical routing is considered the most energy-efficient and extended network lifetime technique. This technique has a lesser number of transmissions in the network. On the contrary, zone-based routing claims lesser control and routing overhead on the overall network lifetime. In this research, a simulation-based comparison of zone-based routing with static clustering hierarchical routing is conducted. The simulation results show that the zone-based routing outperforms hierarchical routing with static clustering in terms of energy efficiency, network lifetime, and throughput.

scholarly journals Energy Sensing and Monitoring Framework with an Integrated Communication Backbone in the Energy Efficient Intelligent Buildings

2013 ◽  
Vol 303-306 ◽  
pp. 1460-1464
Author(s):  
Jian Li Pan ◽  
Shan Zhi Chen ◽  
Raj Jain ◽  
Subharthi Paul
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Energy Saving ◽  
Communication Networks ◽  
Energy Efficient ◽  
Smart Phone ◽  
Intelligent Buildings ◽  
Monitoring Framework ◽  
Integrated Communication ◽  
Energy Sensing

Building environments are significant sources of global energy consumption. To create energy efficient buildings, the first step is to sense and monitor all the energy-consuming appliances in the buildings and record all the energy consumption information. After that, appropriate energy saving policies can be decided and the instructions can be sent to the control devices to apply the energy saving adjustments. To do that, in-building two-way communication networks are needed to connect all the sensors to collect information as well as to send control instructions. However, most of the current devices are provided by separate manufacturers and with separate network infrastructures and so there is not much integration and interaction among different subsystems. In this paper, we envision a new energy sensing and monitoring framework with integrated communication backbone in the intelligent building environments. Specifically, through comprehensive comparisons and investigations, we study different candidate communicating media and protocols like wireline, wireless, and power-line communications technologies that potentially can be used in the intelligent buildings to realize the goals of coordination, integration, and energy efficiency. Also, we propose an extension "smart box" for integration of the devices before the maturity of the standardization process. Cloud computing and smart phone technologies are also introduced to realize the goals of improving energy efficiency and promote global sustainability.

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