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Energy Efficient Node Deployment Technique for Heterogeneous Wireless Sensor Network based Object Detection

INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS 2022年第9期13卷 650-659页

作者： Dev, Jayashree Mishra, Jibitesh Odisha Univ Technol & Res Dept Informat Technol Bhubaneswar India Odisha Univ Technol & Res Dept Comp Sci & Applicat Bhubaneswar India

Lifetime of the network and the quality of operation are the two important issues in a wireless sensor network system meant for object detection and tracking application. At the same time, there should be a tradeoff between network cost and the quality of operation as high cost of the network limits its real-time usability. Heterogeneous wireless sensor networks promises the prolonged network lifetime as well as enhances network reliability as they contain a mixture of nodes with different characteristics. Further prolongation of network lifetime can be achieved by managing the available node energy in a proper way, i.e, by minimizing number of communication, minimizing node density, minimizing overhead information generated during operation etc. Proper node deployment scheme not only helps to enhance the lifetime of the network but also helps in reducing deployment cost while maintaining the quality of operation in terms of object detection accuracy. This paper focuses on the energy efficient node deployment in heterogeneous wireless sensor network system with the features of maximum network coverage, optimum node density and optimum network cost. This paper proposes a novel energy efficient node deployment algorithm that determines the number of static and mobile nodes required for deployment and then relocates the mobile nodes to cover up the coverage hole using 8-neighbourhood and Particle Swarm Optimization (PSO) algorithm. The performance of the proposed algorithm is compared with corresponding model of harmony search algorithm (HSA) and PSO based node deployment and it is seen that the proposed model outperforms better in comparison to them.

关键词： Heterogeneous wireless sensor network energy efficiency node deployment object detection network particle swarm optimization harmony search algorithm

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A novel power system scheduling based on hydrogen-based micro energy hub

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ENERGY 2022年第0期251卷 1页

作者： Zhang, Honghui Chen, Yuanyuan Liu, Kuili Dehan, Sim Zhoukou Normal Univ Sch Phys & Telecommun Engn Zhoukou 466001 Peoples R China Arian Co EED Yerevan Armenia

Simultaneous operation of different energy generation and transmission infrastructures is a subject introduced as the concept of energy hub. This subject is highly regarded in microgrids. Integrating different energy sources under the concept of energy hub can improve the system performance as well as its reliability. The present paper is focused on the concept of hydrogen-based micro energy hub (SMEH) with regard to the integrated demand response (IDR) and hydrogen storage system (HSS). The SMEH studied in the present paper consists of different energy sources including the CHP, boiler, wind turbines, electrical energy storage system (ESS), gas storage system (GSS), thermal storage system (TSS), and hydrogen storage system (HSS). Demand response (DR) is introduced for controlling the consumers' heat demand and electrical pattern. Furthermore, the HSS not only can convert the power from renewable energy sources (RESs) into hydrogen (P2H) in the low power price periods, but also can, in turn, supply the hydrogen industry (H2P). The proposed model aims to minimize the energy cost of the whole hydrogen-based system considering the uncertainty of the power price. This optimization is performed by the harmony search (HS) optimization algorithm, which has been improved and developed by means of the local search algorithm. Eventually, the simulation and numerical results confirm the effectiveness of the proposed model.(c) 2022 Published by Elsevier Ltd.

关键词： Demand response Energy hub harmony search algorithm Hydrogen storage system

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Solar Position Acquisition Method for Polarized Light Navigation Based on ∞ Characteristic Model of Polarized Skylight Pattern

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IEEE ACCESS 2020年 8卷 56720-56729页

作者： Liu, Bianbian Fan, Zhiguo Wang, Xianqiu Hefei Univ Technol Minist Educ Key Lab Knowledge Engn Big Data Hefei 230601 Peoples R China Hefei Univ Technol Sch Comp Sci & Informat Engn Hefei 230601 Peoples R China

Inspired by the use of polarized information for navigation behaviors in nature, many researchers have carried out a lot of researches on bionic polarized light navigation. Due to the complexity of the atmospheric radiation transmission process, there is a lot of uncertainty for the bionic polarized light navigation method that accurately calculates the polarization information of the polarized skylight pattern pixel by pixel. This paper studies the distribution of the polarized skylight pattern under different weather conditions through a large number of observational experiments. It is found that the distribution of the angle of polarization shows a stable infinity characteristic, which can reflect the macro distribution characteristics and changing laws of the polarized skylight pattern. This paper extracts the infinity characteristic from the polarization angle image, then we establish a model of infinity characteristic to solve the solar position by calculating the feature similarity indexes between the measured infinity characteristic images and Rayleigh infinity characteristic images. And we propose an improved harmony search algorithm to solve the optimal solution of the model. By searching in the Rayleigh infinity characteristic image database, the solution vector corresponding to the Rayleigh infinity characteristic image with the highest feature similarity index is the solar position. In this paper, experiments are performed on measured polarized images under sunny and cloudy weather, and the experimental results verify the effectiveness of the proposed algorithm.

关键词： Polarized light navigation solar position polarized skylight pattern harmony search algorithm Rayleigh model

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A Coordinated Framework of DG Allocation and Operating Strategy in Distribution System for Configuration Management under Varying Loading Patterns

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2020年第1-2期48卷 12-29页

作者： Kumar, Pawan Ali, Ikbal Thomas, Mini Shaji Singh, Surjit Thapar Inst Engn Technol Elect & Instrumentat Engn Dept Patiala 147004 Punjab India Jamia Millia Islamia Fac Engn Technol Dept Elect Engn New Delhi India Natl Inst Technol Tiruchirappalli Tamil Nadu India Thapar Inst Engn Technol Comp Sci & Engn Dept Patiala Punjab India

The distributed generation (DG) planning with the varying pattern of the practical load is difficult as it calls for the frequent changes in DG size and system configuration, which is neither feasible nor permissible. Rather such a DG size and a configuration, which can be utilized over a wider load pattern, are more acceptable. This work presents a coordinated approach for DG planning and system reconfiguration. While to operate a particular DG size and the system configuration over a wide range of loading pattern, the configurations are ranked under different probabilistic loading patterns. Based upon the ranking of the new configuration, the energy performance of the coordinated planning is evaluated. Further, the observations from coordinated planning are imposed on coordinated operation using harmony search algorithm (HSA). The proposed approach is tested for single as well as multi-objectives on a 33-node system. A significant improvement in the computational efforts and energy performance of the resulting configuration have been observed where losses have reduced to 81.11 and 53.77 kW with single DG and multi-DG allocation respectively.

关键词： coordinated operation coordinated planning DG allocation loading patterns operating strategies configuration ranking network reconfiguration performance indices probabilistic constant factor power distribution system harmony search algorithm

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Experimental Evaluation for Improving Multiple Quality Characteristics of Drilled Holes: A Case Study on Drilling of Ti6Al4V

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JOURNAL OF ADVANCED MANUFACTURING SYSTEMS 2020年第1期19卷 189-214页

作者： Chatterjee, Suman Mahapatra, Siba Sankar Abhishek, Kumar Natl Inst Technol Rourkela Dept Mech Engn Rourkela 769008 Odisha India Inst Infrastruct Technol Res & Management Dept Mech Engn Ahmadabad 380026 Gujarat India

Titanium alloys find increased applications in many engineering fields such as bio-medical, aerospace, electronics and automobile industries due to their superior physical properties such as high specific strength, weight to strength ratio, corrosive resistant and toughness. Low thermal conductivity of titanium alloys makes it difficult to machine since high cutting temperature is generated at tool work piece interface. As it is highly chemically reactive at high temperature, work piece is adhered to the tool surface. The present work aims at investigating the effect of drilling process parameters viz. spindle speed, drill bit diameter and feed rate on machining performance measures such as burr height at entry and exit, surface roughness and circularity at entry and exit. In order to optimize all the performance measures simultaneously, the present investigation utilizes a hybrid approach known as superiority and inferiority ranking method combined with technique for order preference by similarity to ideal solution (SIR-TOPSIS) to convert these characteristics into single equivalent characteristic (r-flow). A statistically valid empirical relationship is developed for r-flow in terms of machining parameters using nonlinear regression technique. The study aims at attaining optimal parametric setting that maximizes r-flow. To optimize r-flow, an improved version of meta-heuristic evolutionary algorithm known as harmony search (HS) algorithm is implemented. The confirmatory experiment suggests the robustness of the methodology in optimizing the drilling operation.

关键词： Drilling burr height surface roughness superiority and inferiority ranking method harmony search algorithm

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A Covering Tour Approach for Disaster Relief Locating and Routing with Fuzzy Demand

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INTERNATIONAL JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS REsearch 2020年第1期18卷 140-152页

作者： Goli, Alireza Malmir, Behnam Yazd Univ Dept Ind Engn Yazd Iran Univ Virginia Dept Syst & Informat Engn Charlottesville VA USA

Optimizing the distribution and allocation of resources among individuals is one of the most important measures to be taken at the time of crisis. Time, as a vital factor, has a significant impact on the increase in the number of people rescued by relief activities. This paper presents an allocation and routing model for relief vehicles in the areas affected by a disaster. It uses a covering tour approach to reduce response time. Moreover, because determining the exact amount of demand for essential goods in the event of a disaster is very difficult and even impossible in some cases, the demand parameter is considered as a fuzzy parameter in this model. Accordingly, an optimization method is designed based on credibility theory, and a harmony search algorithm with random simulation is developed. Finally, the efficiency of the harmony search algorithm is analyzed by comparing the CPLEX solver and GRASP algorithm. The results show that the proposed algorithm performs well over a short operating time.

关键词： Covering tour approach Fuzzy credibility theory Random simulation harmony search algorithm

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Hybrid PSO-HSA and PSO-GA algorithm for 3D path planning in autonomous UAVs

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SN APPLIED SCIENCES 2020年第11期2卷 1805页

作者： Abhishek, B. Ranjit, S. Shankar, T. Eappen, Geoffrey Sivasankar, P. Rajesh, A. VIT Univ Vellore 632014 Tamil Nadu India NITTTR Chennai Tamil Nadu India

Unmanned aerial vehicles (UAVs) are a quintessential example of automation in the field of avionics. UAVs provide a platform for performing a wide variety of tasks, but in each case the concept of path planning plays an integral role. It helps to generate a pathway free of obstacles, having minimum length leading to lesser fuel consumption, lesser traversal time and helps in steering the aircraft and its corresponding antenna power signature safely around the hostile antenna to avoid detection. To optimize path planning to incorporate all the above-mentioned constraints, this paper presents two new hybrid algorithms particle swarm optimization (PSO) with harmony search algorithm and PSO with genetic algorithm. The hybrid algorithms perform both an exploratory and exploitative search, unlike the existing algorithms which are biased, towards either an exploitative search or an exploratory search. Furthermore, the hybrid algorithms are compared to the existing optimization algorithms and in all cases the hybrid algorithms give a minimum of 7% better result against PSO with up to a 40% better result against Invasive Weed optimization algorithm for a fixed computational time, suggesting better real-time applications.

关键词： Unmanned aerial vehicles Particle swarm optimization harmony search algorithm Genetic algorithm Optimization Path planning

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Considering stockers in reentrant hybrid flow shop scheduling with limited buffer capacity

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COMPUTERS & INDUSTRIAL ENGINEERING 2020年 139卷 106154-000页

作者： Lin, Chun-Cheng Liu, Wan-Yu Chen, Yu-Hsiang Natl Chiao Tung Univ Dept Ind Engn & Management Hsinchu 300 Taiwan Natl Chung Hsing Univ Dept Forestry Taichung 402 Taiwan Natl Chung Hsing Univ Innovat & Dev Ctr Sustainable Agr Taichung 402 Taiwan

Diversification of products has increased the involvement of reentrant manufacturing processes, in which a job returns multiple times to a machine at the preceding workflow stage to continue the manufacturing process. Reentrant flow shop manufacturing can substantially improve manufacturing efficiency when scheduled properly. In practice, advanced manufacturing companies (e.g., semiconductor foundries) have introduced automated material handling system (AMHS), including stockers that serve as centralized inventory buffer space for temporarily storing the inventories owing to limited buffer capacity of each machine. However, no previous studies on reentrant flow shop scheduling have considered the impact of limited buffer capacity or stockers on scheduling efficiency. Consequently, this study investigated the application of stockers in solving the reentrant hybrid flow shop scheduling problem with limited buffer capacity. With the objective of optimizing the makespan and mean flowtime of a schedule, this problem is NP-hard because it generalizes the flow shop problem. Therefore, this study developed a hybrid harmony search and genetic algorithm (HHSGA) for the problem, in which limited buffer capacity and stockers cause solution decoding to be non-trivial. Experimental comparison on scheduling problems with different numbers of jobs showed that the HHSGA performed better than conventional algorithms. Moreover, among three manufacturing conditions (i.e., with buffers and stockers, with buffers only, and with stockers only), the results indicated that the condition using inventory buffers and stockers was more beneficial.

关键词： Flow shop scheduling Stocker Reentrant harmony search algorithm Genetic algorithm

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Improved harmony search Based Optimization of Droop Control Parameters for Load Sharing in DC Microgrids

Improved Harmony Search Based Optimization of Droop Control ...

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IEEE Region 10 Conference on Technology, Knowledge, and Society (TENCON)

作者： Monica, P. Kowsalya, M. VIT Univ Sch Elect Engn Vellore Tamil Nadu India

ISBN: (纸本)9781728118956

The distributed generation-based DC microgrid are destined to achieve accurate current sharing for stable operation of Microgrid. Nevertheless, the decentralized approach of droop control method is suitable, it is affected by the voltage droop due to the line impedance drop. The paper proposes optimization of the droop control parameters such that the error due to the voltage drop and current sharing error is minimized. Among different metaheuristic algorithm, harmony search algorithm is utilized for optimization problem due to its single memory management. In this paper, harmony search algorithm-based optimization of droop parameters for accurate sharing is implemented. The current research work also outworths a comparative analysis of the optimization carried out with particle swarm optimization and harmony search algorithm. The effectiveness of the optimized droop parameters is analyzed by implementing the parallel DC system in Matlab Simulink environment.

关键词： DC microgrid optimization harmony search algorithm particle swarm optimization

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Optimal Conductor Size Selection in Distribution Systems Using the harmony search algorithm with a Differential Operator

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ELECTRIC POWER COMPONENTS AND SYSTEMS 2012年第1期40卷 41-56页

作者： Rao, Rayapudi Srinivasa Satish, K. Narasimham, S. V. L. Jawaharlal Nehru Technol Univ Dept Elect Engn Kakinada India Jawaharlal Nehru Technol Univ Sch Informat Technol Hyderabad Andhra Pradesh India

In this article, a new approach is proposed to optimize conductor size selection in radial distribution network planning for the purpose of minimization of real power loss and enhancement of voltage profile. The objective function is modeled as a problem that minimizes the sum of capital investment and capitalized energy loss cost. Voltage constraints and the maximum current carrying capacity of the conductors are also considered in the evaluation of the objective function. The harmony search algorithm with a differential operator is used to solve the optimal conductor size selection problem and to determine the size and type of the conductors. The effectiveness of the proposed method is demonstrated through simulations on 16- and 85-bus systems, and the results obtained are encouraging.

关键词： distribution system conductor size selection loss reduction voltage profile harmony search algorithm harmony search algorithm with a differential operator

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