International Journal of Sensors Wireless Communications and Control - Volume 7, Issue 3, 2017

Background & Objective: The paper presents a cloud based environment parameter monitoring system. Wireless Sensor Area Network is developed using ZigBee and NodeMCU. The wireless sensor nodes are developed with capabilities of remote data acquisition through the Internet of Things. The system architecture is designed to address various requirements of the environmental parameter monitoring. The system comprises of nodes which are placed at different locations. These nodes are designed with Arduino Uno an open source platform and sensors for environmental parameter monitoring. Conclusion: The data from the sensors are collected by Arduino Uno and uploaded to cloud through NodeMCU.

Background & Objective: ZRP is the most propitious and well acknowledged hybrid routing Protocol in MANET. ZRP proves to perform better under scalability conditions as compared to the table driven and on-demand routing protocols. However, for large networks with an increase in both traffic and mobility the performance of ZRP gets affected. The overhead and latency are majorly affected. This paper analyses the benefits of Clustering when it comes to scalability and proposes an algorithm using the clustering mechanism. The algorithm also incorporates a novel technique called the route Aggregation technique at the Cluster Head. Conclusion: The simulation results are descriptive of the improvement in the End to End Delay, Normalized Routing Load and Packet Delivery ratio, under varying nodes, connections and mobility. The new Algorithm is called ZRP-RA.

Background/Objectives: Interoperability among the hospitals is the major challenge in development and deployment of the clinical reporting system.In this paper, we demonstrate a HL7 (Health Level) FHIR (Fast Healthcare Interoperability Resources) standard to provide the interoperability among the healthcare information system. Method/Statistical Analysis: FHIR (pronounced “fire”), is successor of the HL7 v3 standard. FHIR can utilize the light weight devices and is based on REST architectural. Model integrated with the EHR (electronic health record) that store Mongo DB database and reports is generated through FHIR resources. Various authentic individuals like physician, staff, patient and family members of patient can access and update the report. On the basis of the report, the model can provide the prediction of the disease. Findings: In our study, we examined dataset PIDD (Pima Indian Diabetes dataset) for the model. Dataset trained offline using the predictive techniques SVM, Naive Bayes and K-NN. Performance analysis was performed on the basis of response time and waiting time of a request. Application/Improvements: Open source standard, technologies like FHIR and MONGO DB can play a prominent role in healthcare system and in the area of clinical research. Integrating the EHR with web services assists the physician for making the correct decision at right time.

Background & Objective: In today's scenario, workflow scheduling algorithms require multiple conflicting goals to be optimized. Optimal makespan (schedule length) for the workflow application is the most important criterion to be optimized to achieve desirable performance. Reducing energy consumption for high performance computing requirements is extremely important to control the rapidly growing demand for computation power. This results in a decrease of the operational cost and carbon- dioxide emissions to the environment. Moreover, the computer processors in a heterogeneous environment are not failure free. Any kind of failure can be critical for an application. In this paper, we propose a multi-objective workflow scheduling algorithm in cloud computing – ERAWS, which optimizes three conflicting criterions: makespan, reliability of task execution and energy consumption. We validate and analyze the performance of our algorithm by using the CloudSim toolkit to simulate the cloud environment. We compare the performance of our algorithm with HEFT and ECS, using randomly generated task graphs and task graphs for real world problems like Gaussian Elimination and Fast Fourier Transformation to represent workflow applications. Conclusion: The simulation results show that the proposed ERAWS algorithm is significantly better than the considered algorithms in terms of makespan, reliability and energy consumption in real world scenarios where reliability and energy consumption are important issues.

Background & Objective: RSA is the most popular public key cryptosystem. Due to the large sized parameters, it lacks in efficient computational performance and memory consumption. These limitations provoke the users to upgrade to the different public key algorithm. Another better option is to improve the existing variants of RSA. In this work, the focus is on the second option to design an efficient RSA variant. An improved RSA variant is designed by adding MultiPrime feature to Dual RSA on the decryption side to increase the decryption speed. The proposed variant is designed to have low decryption cost with better memory usage in case when two instances of RSA are required. For the same encryption speed, the decryption speed of the proposed variant becomes 2 times faster than Dual RSA and the memory consumption gets reduced by approximately 170 bits. Conclusion: Furthermore, many of the existing attacks are proved to be ineffective for the proposed variant.

Background & Objective: Cloud computing, a ubiquitous computing enables on demand access to resources in a pay - as - you - use trend. In cloud environment, the traffic is routed dynamically through different cloud service providers. Due to this, there is every possibility of optimization crunches, Quality of Service (QOS) contention and security breaches. For the routing to be efficient in cloud networks, there must be a proper tradeoff between QOS and security aspect. This paper presents a technique of using GA based approach in cloud network for QOS optimization of parameters like packet drop rate and hop count. GA is renowned of providing optimized solution for various wireless, adhoc networks, thus used in the proposed approach and also a comparison is made with the conventional routing approach. Conclusion: The results are being simulated on a MATLAB developed simulator and the results show that the proposed approach is providing better and optimized results when compared with conventional routing approach.

Background & Objective: In the general form for the equation of the electroelasticity the generalized structural-parametric model and the generalized matrix transfer function of the electroelastic actuator with the output parameters displacements are determined from the solutions of the wave equation with using the Laplace transform. The parametric structural schematic diagram and the transfer functions of the electroelastic actuator are obtained for calculation of the mechatronics devices of communications systems. The structural-parametric model of the piezoactuator for the transverse, longitudinal, shift piezoelectric effects is constructed. The dynamic and static characteristics of the piezoactuator with the output parameter displacement are obtained.

Background & Objective: BCH codes represent an important class of cyclic error-correcting codes, their minimum distances are known only for some cases and remains an open NP-Hard problem in coding theory, especially for large lengths. This paper presents an efficient scheme ZFSMP (Zimmermann Fragments Special Multiplier Permutation) to find the true value of the minimum distance for many large BCH codes. The proposed method consists of searching a codeword having the minimum weight by Zimmermann algorithm in the subcodes fixed by Fragments special multiplier permutation. ZFSMP is validated on all BCH codes of length up to 255 for which it gives the exact value of the minimum distance already known. For BCH codes of length 511, the comparison of ZFSMP with Augot Newton's identities and other heuristic methods prove its quality for giving more accurate results in very short time. Conclusion: By exploiting the efficiency and the quickness of ZFSMP, the true minimum distances and consequently the error correcting capability of many BCH codes of length 1023, 2047, 4095, and 8191 are determined.

Background: Static Random Access Memory (SRAM) is a type of semiconductor memory which is used to store each bit. It is faster compared to the DRAM and also has low power consumption, simplicity and reliability. SRAM plays an important role in the power efficient designs and in minimizing the power dissipation by using voltage scaling methods. It is simulated in Cadence software using CNTFET 32 nm technology. Carbon Nanotube Field Effect Transistor (CNTFET) is a 3 terminal device, namely gate, source and drain. CNTFET utilizes the single carbon nanotube or array of carbon nanotubes as a channel instead of silicon material in MOSFET structure. The carbon nanotubes were first discovered in 1991 by Sumio Iijima. They are very long, thin and smooth cylindrical hollow fibers. They are in a hexagonal pattern of carbon atoms. Carbon Nano Tube Field Effect Transistor has electronic, thermal and structural properties. These properties are similar to CMOS and also that CNTFET has high carrier mobility, i.e. five times faster than CMOS without requiring any extra power. Methods/Results: A new 7-CNT differential dual port SRAM cell is designed by using CNTFET 32 nm technology. This dual port cell is more efficient with low power consumption compared to the 6T and 8T SRAM cells. It performs read and write operations simultaneously, so that, it is a time saving process because of this cell produces the output at a time. Hence, this cell is very advantageous over 6T and 8T SRAM cell. An improvised differential reference based sense amplifier is designed in CNTFET technology and it is used to sense and amplify the low voltage signal with less delay. These circuits are simulated by using Spectre Cadence with 32 nm CNTFET Technology files with +0.4V. The bit interleaving architecture for the 2 matrix of 7-CNT dual port SRAM cell with Sense Amplifier (SA) is designed. This 7-CNT SRAM cell is found better than the conventional SRAM cells. These circuits yield good results compared to the conventional designs. Conclusion: The bit interleaving architecture for the 2×2 matrix of 7-CNT dual port SRAM cell with Sense Amplifier is designed having less delay and minimum power consumption. The proposed sense amplifier is useful in biomedical applications because of the biomedical signals that operate at very low voltage. Finally, the same can be implemented as a global SRAM cell organization by 7-CNT dual port cell with an improved differential reference based sense amplifier having 256 rows followed by 4 columns of each bit cell.