Optimising Residual Energy Transmission Head with SNR Value in Multiple Clusters

WSN consists of independent device spatially distributed in the wireless network with sensor that observes the environment conditions. In this paper we propose a new algorithm for transmission head and its function. The cluster head (CH) activities, the role of transmission head (TH) and the selection of TH in various scenarios are discussed. Moreover the residual energy of the head nodes, signal–noise ratio for CH and TH are analysed with simulation results. Section 3 defines the cluster region and the active nodes of the cluster. It defines the identity of each cluster node. Section 3 deals with the selection of CH and the role of TH. Also, the algorithmic approach of TH is explained in this section. Section 4 explains the process of TH to TH communication. The communication of the various clusters is discussed in this section. The final section presents the analysis of TH and CH work with a comparison based on simulation.

     

Microstructural studies on nanocrystalline oxide dispersion strengthened austenitic (Fe–18Cr–8Ni–2W–0.25Y<Subscript>2</Subscript>O<Subscript>3</Subscript>) alloy synthesized by high energy ball milling and vacuum hot pressing

In the present work, nanostructured (Fe–18Cr–8Ni–2W) austenitic base and oxide dispersion strengthened (ODS) alloy powders were produced through mechanical alloying and these nano powders were consolidated by vacuum hot pressing. The results showed that initially bcc solid solution formed in both the alloys and this transformed to fcc with continued milling. The bcc solid solution formation and the subsequent transformation to fcc were significantly faster in the ODS alloys when compared to the base alloy. In the ODS alloy, a grain size of ~25 nm is achieved within 5 h of milling. Study of variation of microhardness of mechanically alloyed powder particles with grain size showed linear Hall–Petch kind of behavior. Following vacuum hot pressing of mechanically alloyed powders, nearly fully dense (>99% of theoretical density) compacts were obtained with a grain size of ~80 nm. The bulk hardness of base and ODS alloys are ~530 and ~900 HV, respectively. These are significantly higher than the values reported in the literature so far. The enhanced strength the ODS alloy is due to increased dislocation density and presence of fine dispersoids along with the nanocrystalline grains.     

Interfacing geometric model data with rapid prototyping systems

The direct slicing of CAD models created in CADDS V to generate geometric data for rapid prototyping using fused feposition modeling technique (FDM) is presented in this paper. The report file from an explicit model is accessed for obtaining model data. Algorithms have been developed for determining the volumes of model material as well as support materials. New algorithms have been developed for filling the sheet solid. A simulation module has been developed to verify whether the filling is correctly done. Example of a model is manufactured using this approach is also presented in this paper.     

Development of Chloride Electrode Coated Wire and Composite Systems for Determination Chloride Ion in Gunungkidul Spring Water

The purpose of this research was to fmd out effectiveness of chloride solid membrane electrode of coated wire system compared to solid membrane electrode of composite system, the Nernstian response and character＇s potential response （detection limit, selectivity and response time）. The chloride ISEs （ion selective electrodes） in this research were the solid membrane chloride ISEs based AgC1. There were two types of chloride ISEs that were developed, namely the chloride ISEs of coated wire and composite systems. Both types of electrodes were characterized. The selectivity was done by comparing Esel of the chloride standard solutions and Esel of the interference ions （Br- and I-）. The measurement of chloride ions in water samples was done by using the coated wire chloride ISE, the composite chloride ISE and the Mohr method. We compared the result of the two chloride ISE methods to that of standard method for chloride determination （Mohr） by using F-test and Post Hoc Test LSD （least significant difference） and Duncan. Analysis by using F-test and Post Hoc Test （LSD and Duncan） and characterization results of both the methods showed that coated wire chloride ISE was more effective compared to composite chloride ISE. Nemstian response was 59.83 mV/decade, linier range measurement was 10-1-10-5 M, limit detection was 1.23 × 10-5 M, response time along was 25 s and interfering ion was 10-4 M Br-.     

Measurements at 2.4, 3.4, 5.2, 28 and 60 GHz for Device-to-Device Wireless Communications

Wireless Personal Communications - Wireless communication networks with increased demand for higher speed in data transfer have paved way for device-to-device (D2D) wireless communications. This...     

Investigation on Effect of Radial and Extended Fins in PCM Heat Sink for LED Cooling

This work focuses on the efficiency of the LED acting as the heat sink containing Phase Change Material (PCM). Three different heat sink configurations (H-1, H-2, and H-3) are used in this study. Input power and the number of fins are altered to find their effect on junction temperatures, luminous flux, and thermal resistance. The junction temperature of heat sink H-3 with PCM decreased by 3.1 % when compared with heat sink devoid of PCM at 10 W. The thermal resistance of the heat sink H-3 is reduced by 18.2 % when compared to its counterpart devoid of PCM at 10 W. The luminous flux of the PCM filled heat sink H-3 is found to increase by 12.15 % against the PCM not filled heat sink H-1 at 10 W. The H-3 heat sink with PCM showed superior performance because of the enhanced natural convection and conduction in bulk PCM with fins, and with added high latent heat capacity of PCM.     

Industrial Centric Node Localization and Pollution Prediction Using Hybrid Swarm Techniques

Major fields such as military applications, medical fields, weather forecasting, and environmental applications use wireless sensor networks for major computing processes. Sensors play a vital role in emerging technologies of the 20th century. Localization of sensors in needed locations is a very serious problem. The environment is home to every living being in the world. The growth of industries after the industrial revolution increased pollution across the environment. Owing to recent uncontrolled growth and development, sensors to measure pollution levels across industries and surroundings are needed. An interesting and challenging task is choosing the place to fit the sensors. Many meta-heuristic techniques have been introduced in node localization. Swarm intelligent algorithms have proven their efficiency in many studies on localization problems. In this article, we introduce an industrial-centric approach to solve the problem of node localization in the sensor network. First, our work aims at selecting industrial areas in the sensed location. We use random forest regression methodology to select the polluted area. Then, the elephant herding algorithm is used in sensor node localization. These two algorithms are combined to produce the best standard result in localizing the sensor nodes. To check the proposed performance, experiments are conducted with data from the KDD Cup 2018, which contain the name of 35 stations with concentrations of air pollutants such as PM, SO₂, CO, NO₂, and O₃. These data are normalized and tested with algorithms. The results are comparatively analyzed with other swarm intelligence algorithms such as the elephant herding algorithm, particle swarm optimization, and machine learning algorithms such as decision tree regression and multi-layer perceptron. Results can indicate our proposed algorithm can suggest more meaningful locations for localizing the sensors in the topology. Our proposed method achieves a lower root mean square value with 0.06 to 0.08 for localizing with Stations 1 to 5.     

Enhanced Dielectric Properties in Spark Plasma Sintered Zinc Titanate Ceramics

The ever increasing application of zinc titanate ceramics as a dielectric material in microwave devices and low temperature co-fired ceramics calls for the improvement in their dielectric properties. In this paper, the effect of different sintering techniques on the dielectric properties of zinc titanate have been discussed. Zinc titanate was prepared by ball milling 1:1 molar ratio of ZnO and TiO₂ for 12 h and calcined at 800 °C for 2 h. The presence of ZnTiO₃ and Zn₂TiO₄ phases were confirmed by X-ray diffraction and the dielectric properties of the sintered samples were studied using LCR meter. Samples consolidated by spark plasma sintering (SPS) showed highest densification (13% increase), higher dielectric permittivity (?_r = 25.17) and Q factor (Q factor = 162.78) with lower loss tangent values (tanδ = 0.00614) than that of microwave sintered samples (?_r = 21.86, Q factor = 99.08, tanδ = 0.01009) and conventionally sintered samples (?_r = 20.54, Q factor = 60.07, tanδ = 0.01665). The fabrication time was considerably reduced for the materials prepared via SPS than that prepared by conventional route with improved properties and also the dependence of dielectric properties on density was confirmed in this research work.     

Dynamic Model Node Scheduling Algorithm Along with OBSP Technique to Schedule the Node in the Sensitive Cluster Region in the WSN

Wireless Personal Communications - In large-scale applications in science and business space require the exchange of enormous information over high performance systems for remote tasks. In wireless...