In-network performance measurements for Software Defined Wireless Sensor Networks

2019 ◽  
Author(s):  
Thamires C. Luz ◽  
Gustavo A. Nunez ◽  
Cintia B. Margi ◽  
Fabio L. Verdi
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Wireless Sensor ◽  
Performance Measurements

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.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2016 ◽  
pp. 79-114
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2020 ◽  
pp. 372-399
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

scholarly journals Swarm-Intelligence-Centric Routing Algorithm for Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (18) ◽  
pp. 5164
Author(s):  
Changsun Shin ◽  
Meonghun Lee
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Swarm Intelligence ◽  
Network Performance ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Optimal Solution ◽  
Link Quality ◽  
Wireless Sensor ◽  
Control Message

The swarm intelligence (SI)-based bio-inspired algorithm demonstrates features of heterogeneous individual agents, such as stability, scalability, and adaptability, in distributed and autonomous environments. The said algorithm will be applied to the communication network environment to overcome the limitations of wireless sensor networks (WSNs). Herein, the swarm-intelligence-centric routing algorithm (SICROA) is presented for use in WSNs that aim to leverage the advantages of the ant colony optimization (ACO) algorithm. The proposed routing protocol addresses the problems of the ad hoc on-demand distance vector (AODV) and improves routing performance via collision avoidance, link-quality prediction, and maintenance methods. The proposed method was found to improve network performance by replacing the periodic “Hello” message with an interrupt that facilitates the prediction and detection of link disconnections. Consequently, the overall network performance can be further improved by prescribing appropriate procedures for processing each control message. Therefore, it is inferred that the proposed SI-based approach provides an optimal solution to problems encountered in a complex environment, while operating in a distributed manner and adhering to simple rules of behavior.

ANALYSIS AND EVALUATION OF RANDOM PLACEMENT STRATEGIES IN WIRELESS SENSOR NETWORKS

2014 ◽  
Vol 23 (10) ◽  
pp. 1450138 ◽  
Author(s):  
THAIER HAYAJNEH ◽  
SAMER KHASAWNEH
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Quality Measures ◽  
Wireless Sensor ◽  
Hybrid Strategy ◽  
Deployment Strategy ◽  
Area Of Interest ◽  
Random Placement ◽  
The Impact

Wireless sensor networks (WSNs) are an attractive choice for many applications where sensors are densely and efficiently deployed in an area of interest. For example, in surveillance applications, where deterministic placement is not applicable, the sensors have to be randomly deployed entirely or partially in an area. Whether random or deterministic, the strategy of deploying the sensors has a large impact on the performance of WSNs. In this paper, we propose a systematic methodology for sensors placement based on several random distributions. The quality of deployment is evaluated using a set of proposed measures, the significance of which highly depends on the WSN application. The impact of these deployment strategies on the network performance is thoroughly studied. Moreover, we propose a new hybrid deployment strategy that aims to achieve the best performance based on the suggested deployment quality measures. Both the placement strategies with the deployment quality measures are evaluated using extensive simulations. The results show that the proposed hybrid strategy outperformed other strategies including uniform, random, Gaussian, and exponential distributions. In addition, the paper identifies the family of applications where each of the quality measures is highly critical.

The impact of fading and shadowing on the network performance of wireless sensor networks

2008 ◽  
Vol 3 (4) ◽  
pp. 211 ◽  
Author(s):  
Bao Hua Liu ◽  
Brian P. Otis ◽  
Subhash Challa ◽  
Paul Axon ◽  
Chun Tung Chou ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Wireless Sensor ◽  
Fading And Shadowing ◽  
The Impact

Study on the Adaptive Congestion Control Algorithms for Wireless Sensor Networks

2014 ◽  
Vol 989-994 ◽  
pp. 4493-4496
Author(s):  
Zhi Jing Zhang ◽  
Zeng Xin Xie
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Congestion Control ◽  
Network Performance ◽  
Wireless Sensor ◽  
Transmission Performance ◽  
Congestion Control Algorithm ◽  
Congestion Control Mechanism ◽  
Adaptive Congestion Control ◽  
Transmission Speed

As the study on and promotion of wireless sensor networks (WSN) are deepening, people have increasingly higher requirements for the transmission speed and transmission performance of wireless sensor networks. Network congestion is an important factor of the transmission performance of a network, so congestion control becomes a hot research topic in the studies on the improvement of WSN services. Based on the study on WSN congestion control mechanism, this paper proposes an adaptive congestion control algorithm and simulates the algorithm. The simulation result shows that this algorithm can ensure stable network performance.

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