scholarly journals Analysis of Different Routing related Energy Optimization Methodologies in WSNs

2020 ◽  
pp. 903-914
Author(s):  
G. Mohan Ram ◽  
E. Ilavarasan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Energy Optimization ◽  
Data Communication ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Design Parameters ◽  
Network Efficiency ◽  
Sensor Networking

For personal, mobiles and sensor communications wireless sensor networking is an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. In this paper, we describe different type’s energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. To support data communication in wireless sensor networks we also give brief description about different routing protocols. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, we discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

scholarly journals Prototype Survey of Different Energy Optimization and Routing Approaches in Wireless Sensor Networks

2019 ◽  
pp. 01-09
Author(s):  
G. Mohan Ram ◽  
M. V. Subba Rao ◽  
T. Kesava
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Energy Optimization ◽  
Data Communication ◽  
Optimization Techniques ◽  
Wireless Sensor ◽  
Design Parameters ◽  
Network Efficiency ◽  
Sensor Networking

For personal, mobiles and sensor communications wireless sensor networking are an emerging concept in recent years. Normally wireless sensor network (WSN) is combined and integrated data relations for modern communication in infrastructure, energy efficiency; these are the main design parameters to improve network performance with respect to mitigate communication relations. This paper describes different types of energy optimization techniques/approaches and basic routing scenarios used for efficient communication in wireless sensor networks. We also give brief description about different routing protocols to support data communication in wireless sensor networks. And also define different routing algorithms used in data communication to increase network efficiency with respect to different network parameters. In this survey, discuss about energy optimization approaches in wireless sensor networks, and also define several techniques which aim energy consumption in wireless nodes in WSNs.

scholarly journals Cluster Head Energy Optimization in Wireless Sensor Networks

2016 ◽  
Vol 2016 (1) ◽  
pp. 137-162 ◽  
Author(s):  
Shahab Tayeb ◽  
Miresmaeil Mirnabibaboli ◽  
Shahram Latifi ◽  
◽  
◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Cluster Head ◽  
Energy Optimization ◽  
Wireless Sensor

Multicast Scaling in Heterogeneous Wireless Sensor Networks for Security and Time Efficiency

2021 ◽  
Author(s):  
Ramdas Vankdothu ◽  
Hameed Mohd Abdul ◽  
Fatima Husnah ◽  
Subbarao Akkala
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Time Efficiency ◽  
Efficiency Measures ◽  
Heterogeneous Wireless Sensor Networks ◽  
Fuzzy C Means Clustering

Abstract Heterogeneous wireless sensor networks (HWSNs) satisfy researchers' requirements for developing real-world solutions that handle unattended challenges. However, the primary constraint of researchers is the privacy of the sensor nodes. It safeguards the sensor nodes and extensions in the HWSNs. Therefore, it is necessary to develop secure operational systems. Multicast scaling with security and time efficiency is described in heterogeneous wireless sensor networks to maximize network performance while also successfully protecting network privacy. This study evaluates the initial security and time efficiency measures, such as execution time, transmission delay, processing delay, congestion level, and trust measure. Subsequently, the optimal location of the heterogeneous nodes is determined using sigmoid-based fuzzy c-means clustering. Finally, successful cluster routing was achieved via support-value-based particle swarm optimization. The experimental results indicate that the proposed strategy surpasses existing strategies in terms of network delivery ratio, end-to-end delay, throughput, packet delivery, and node remaining energy level.

Efficient Energy Conservation and Faulty Node Detection on Machine Learning-Based Wireless Sensor Networks

2021 ◽  
Vol 13 (2) ◽  
pp. 1-20
Author(s):  
Amarasimha T. ◽  
V. Srinivasa Rao
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Communication ◽  
Energy Utilization ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Support Vector ◽  
Faulty Node

Wireless sensor networks are used in machine learning for data communication and classification. Sensor nodes in network suffer from low battery power, so it is necessary to reduce energy consumption. One way of decreasing energy utilization is reducing the information transmitted by an advanced machine learning process called support vector machine. Further, nodes in WSN malfunction upon the occurrence of malicious activities. To overcome these issues, energy conserving and faulty node detection WSN is proposed. SVM optimizes data to be transmitted via one-hop transmission. It sends only the extreme points of data instead of transmitting whole information. This will reduce transmitting energy and accumulate excess energy for future purpose. Moreover, malfunction nodes are identified to overcome difficulties on data processing. Since each node transmits data to nearby nodes, the misbehaving nodes are detected based on transmission speed. The experimental results show that proposed algorithm provides better results in terms of reduced energy consumption and faulty node detection.

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