scholarly journals Implementation of Hybrid Algorithm in Cluster Head using Neural Networks

2021 ◽  
Vol 9 (VI) ◽  
pp. 4147-4152
Author(s):  
Pooja S
Keyword(s):  
Neural Network ◽  
Cluster Head ◽  
Processing System ◽  
Delivery Ratio ◽  
Data Processing System ◽  
Processing Elements ◽  
Packet Delivery ◽  
Neural Organization ◽  
Ratio Energy

A Neural Network is a data processing system consisting of large number of simple, highly interconnected processing elements. In this paper a graphical convention is utilized where hubs are orchestrated in the form of cluster. An epic methodology is presented for choice of group head by the utilization of fake neural organization to expand organization's lifetime in WSN and calculation of steering convention dependent on neural organizations (NNs). In the proposed work, a standard burned-through energy is used for the choice of bunch head and and steering convention LEACH is used. The leftover energy is utilized for making group head and for the determination of bunch head using Neural Network. In the proposed system Using LEACHNN algorithm Throughput, packet delivery ratio ,energy is improved by 20%.

scholarly journals Highly Reliable Decision-Making Using Reliability Factor Feedback for Factory Condition Monitoring via WSNs

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Zafar Iqbal ◽  
Heung-No Lee ◽  
Saeid Nooshabadi
Keyword(s):  
Decision Making ◽  
Power Consumption ◽  
Cluster Head ◽  
Base Station ◽  
False Alarms ◽  
Delivery Ratio ◽  
Probability Of Error ◽  
Reliability Factor ◽  
Packet Delivery ◽  
Low Level

Cooperation among sensors in a wireless sensor network, deployed for industrial monitoring in an indoor scenario, is a topic of interest in the smart factory and smart city research. The indoor wireless communication channel is very harsh and the observations of all the sensors cannot be sent reliably to the base station. Failure to transmit correct sensing results to the base station may result in false alarms or missed detection of events. Therefore, we propose a cooperation scheme for the wireless sensors to send the data reliably to the base station. Our aim is to increase the reliability of the received information, reduce the probability of error, lower the overall power consumption, and keep the latency to an acceptable low level. We propose a reliability factor feedback algorithm to adjust the weight of unreliable sensors in the decision-making process. The proposed scheme is analyzed based on its latency, power consumption, and packet delivery ratio. Our results show significant improvement in the reliability of the received data, improved packet delivery, and reduced false alarm ratio for full repetition and cluster head-based cooperation. The power consumption and latency in data transmission are also kept to an acceptable low level.

Applications of Computer Produced Frequency Distribution Curves

1967 ◽  
Vol 13 (11) ◽  
pp. 917-930 ◽  
Author(s):  
N Ressler ◽  
L S Whitlock
Keyword(s):  
Quality Control ◽  
Frequency Distribution ◽  
Processing System ◽  
Test Methods ◽  
Diagnostic Classification ◽  
Data Processing System ◽  
Validity Of Results ◽  
Frequency Distributions ◽  
Relative Value

Abstract Applications to quality control of a laboratory's own individual frequency distribution curves are described. The method has recently become feasible for routine use, since the curves can now be compiled automatically by means of an electronic data-processing system. Applications described include verification of the validity of results generated by a given method in terms of the frequency distributions obtained for each type of diagnostic classification, and the determination of the constancy of these distributions. The relative value of different test methods can be compared by the success which is achieved in distinguishing diagnostic classifications (as measured by the overlaps of different frequency distribution curves). Individual frequency distributions can also be used to determine the precision required for given test, in order to avoid any loss in the discrimination which can be achieved.

scholarly journals Congestion Control for Improved Cluster-head Gateway Switch Routing Protocol using Modified Ad-hoc on-demand Distance Vector Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 6013-6018
Keyword(s):  
Energy Consumption ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Cluster Head ◽  
Average Energy ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
On Demand ◽  
Distance Vector ◽  
Average Energy Consumption

MANETs are a trending topic in the wireless communication network. MANETs are formed automatically by an autonomous system of mobile nodes that are connected via wireless links. Cluster-head gateway switch routing protocol (CGSR) is a proactive protocol which is also called table-driven protocol. It consists of routing table information before setting up a connection. Ad-hoc on-demand distance vector protocol (AODV) is a reactive protocol, it sets path only when demanded by the network. CGSR protocol forms a group of nodes into clusters and selects a node as cluster-head based on some clustering algorithms for each cluster. In this paper, we have proposed a protocol, which combines the advantages of both CGSR and AODV to minimize traffic congestion in an ad-hoc wireless network. The performance metrics such as routing overhead, end-end delay, packet delivery ratio, throughput, and average energy consumption are enhanced and compared with other clustering protocols such as CGSR and LEACH protocols. The comparison result reveals that the routing overhead, end-end delay, and the average energy consumption is reduced and packet delivery ratio, throughput is improved.

scholarly journals Enhancement of the QoS Parameter of LEACH Protocol using Modified K -Means Algorithm

2019 ◽  
Vol 8 (2S6) ◽  
pp. 880-885
Keyword(s):  
Sensor Network ◽  
Network Performance ◽  
Cluster Head ◽  
Delivery Ratio ◽  
Leach Protocol ◽  
Qos Parameters ◽  
External Communications ◽  
Monitoring Area ◽  
Ratio Energy

Wireless Sensor Network (WSN) is a collection of battery operated sensors deployed in the monitoring area. A massive quantity of energy of the nodes is used in the internal and external communications. There is a need of energy saving mechanism for effective and efficient communication. In this paper, we propose a new Modified-LEACH (MD-LEACH) protocol for enhancing the Quality of Services (QoS) parameters. This hierarchical routing protocol (MD-LEACH) is inspired by the k-means clustering technique to consolidate sensor networks into clusters and acquire an enhanced QoS parameter. The kmeans algorithm efforts to improve the clustering procedure of LEACH protocol using Euclidean distance and prolong the lifespan of the sensor network. This algorithm forms the optimized clusters by a distance of cluster head from cluster nodes and energy of the nodes for designated the cluster heads. To evaluate the performance of the proposed approach, we used NS-2 simulator, and consider the QoS parameter, namely: packet delivery ratio, energy consumption, bandwidth, and throughput. The simulations results show that the MD-LEACH algorithm outperforms then the LEACH protocol by optimizing all QoS parameters and improved network performance.

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