scholarly journals DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network

2018 ◽  
Vol 7 (3) ◽  
pp. 1956
Author(s):  
A Felix Arokya Jose ◽  
C Anand Deva Durai ◽  
S John Livingston
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sampling Rate ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Earliest Deadline First ◽  
Delivery Ratio ◽  
Earliest Deadline

Wireless Sensor Network (WSN) has an enormous scope of utilizations in detecting different parameters such as temperature, pressure, sound, pollution, etc. The sensed data in each sensor node are a valuable one. To communicate the information to the base station for further processing, a lot of strategies are available. Each sensor senses the data in different sampling rate depending upon the sudden raise in the sensing parameters. Data communication to the base station is very critical due to the dynamicity of the environment during the stipulated time.The sensed data should reach the base station before the data becomes invalid due to the violation of the deadline. In order to avoid deadline violation so that the sensed data becomes useless, this paper proposing a novel data collection algorithm based on the popular Earliest Deadline First (EDF) scheduling algorithm. The various simulation parameters are taken into account to verify the performance of the proposed method and the result shows that it achieves high throughput, low delay, high Packet Delivery Ratio (PDR) and low energy consumption.  

scholarly journals An Enhanced Underwater Linear Wireless Sensor Network Deployment Strategy for Data Collection

2018 ◽  
Vol 8 (3) ◽  
Author(s):  
Zahoor Ahmed ◽  
Kamalrulnizam Abu Bakar
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Research Work ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Packet Delivery ◽  
Deployment Strategy ◽  
Underwater Pipeline

The deployment of Linear Wireless Sensor Network (LWSN) in underwater environment has attracted several research studies in the underwater data collection research domain. One of the major issues in underwater data collection is the lack of robust structure in the deployment of sensor nodes. The challenge is more obvious when considering a linear pipeline that covers hundreds of kilometers. In most of the previous work, nodes are deployed not considering heterogeneity and capacity of the various sensor nodes. This lead to the problem of inefficient data delivery from the sensor nodes on the underwater pipeline to the sink node at the water surface. Therefore, in this study, an Enhanced Underwater Linear Wireless Sensor Network Deployment (EULWSND) has been proposed in order to improve the robustness in linear sensor underwater data collection. To this end, this paper presents a review of related literature in an underwater linear wireless sensor network. Further, a deployment strategy is discussed considering linearity of the underwater pipeline and heterogeneity of sensor nodes. Some research challenges and directions are identified for future research work. Furthermore, the proposed deployment strategy is implemented using AQUASIM and compared with an existing data collection scheme. The result demonstrates that the proposed EULWSND outperforms the existing Dynamic Address Routing Protocol for Pipeline Monitoring (DARP-PM) in terms of overhead and packet delivery ratio metrics. The scheme performs better in terms of lower overhead with 17.4% and higher packet delivery with 20.5%.

scholarly journals Secured Data Transmission and Malicious Node Detection in Wireless Sensor Network

2019 ◽  
Vol 8 (6) ◽  
pp. 1062-1069
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Malicious Nodes ◽  
Secure Data Transmission ◽  
Fuzzy C Means Clustering

Wireless Sensor Network (WSN) is developed extremely because of their low installation cost and various applications. WSN has compact and inexpensive sensor nodes for monitoring the physical environment. WSNs are susceptible to many attacks (e.g. malicious nodes) because of its distinct characteristics. The performance of node and network is affected by the malicious nodes. Moreover, the communication among the sensor nodes also required to be secured for preventing the data from the hackers. In this paper, the architecture of the WSN is generated by using the Fuzzy-C-Means clustering (FCM). Then the detection of the malicious nodes is performed by using the Acknowledgement Scheme (AS). This AS is integrated in the Ant Colony Optimization (ACO) based routing for avoiding the malicious nodes while generating the route from the source to the Base Station (BS). Then the Hybrid Encryption Algorithm (HEA) is used for performing the secure data transmission through the network and this proposed method is named as HEA-AS. The performance of the HEA-AS method is evaluated in terms of End to End Delay (EED), network lifetime, throughput, Packet Delivery Ratio (PDR) and Packet Loss Ratio (PLR). The proposed HEA-AS method is compared with the existing method called as CTCM to evaluate the effectiveness of the HEA-AS method.

scholarly journals Wireless Sensor Network Topology Theory for Data Collection and Analysis of Sports Training Human Body

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Beibei Fu
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Network Topology ◽  
Base Station ◽  
Training System ◽  
Wireless Sensor ◽  
Network Technology ◽  
Sports Training ◽  
Application Requirements

This paper is based on wireless sensor network topology for sports training human data collection, and the collected data are studied and analyzed in depth. According to the application requirements of sports training, a sports training system consisting of an embedded data collection terminal, and a database server is designed using wireless sensor network technology. The hardware is designed with sensor nodes and base stations to collect athletes’ motion parameters in real time. The software is designed with node and base station control software and sports database management system to realize the receiving, storing, and analyzing of sports parameters. And the system experiments were conducted, and the experimental results show that this system meets the application requirements of sports training and provides an effective tool for scientific training decision research. The needs of designing sports training systems under wireless sensor networks are analyzed, and the system is designed and implemented. Our results confirm that the use of wireless sensor network technology in the design of the sports training system improves the system application performance by 16%. And the interactivity of the sports training system in practice has increased by 8%. All of these show that the design of the sports training system under the wireless sensor network meets the actual system application requirements and has a positive impact. The design of base station control, node control, and sports database software is implemented in the software system, which can effectively realize the collection, storage, and analysis of sports parameters. Finally, the designed wireless sensor network-based sports training system is tested, and the test results indicate that the system designed in this paper can meet the needs of sports training use.

scholarly journals CPEH: A Clustering Protocol for the Energy Harvesting Wireless Sensor Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Yu Han ◽  
Jian Su ◽  
Guangjun Wen ◽  
Yiran He ◽  
Jian Li
Keyword(s):  
Wireless Sensor Network ◽  
Energy Harvesting ◽  
Sensor Network ◽  
Local Density ◽  
Energy State ◽  
Cluster Head ◽  
Base Station ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Clustering Protocol

In the last decade, energy harvesting wireless sensor network (EHWSN) has been well developed. By harvesting energy from the surrounding environment, sensors in EHWSN remove the energy constraint and have an unlimited lifetime in theory. The long-lasting character makes EHWSN suitable for Industry 4.0 applications that usually need sensors to monitor the machine state and detect errors continuously. Most wireless sensor network protocols have become inefficient in EHWSN due to neglecting the energy harvesting property. In this paper, we propose CPEH, which is a clustering protocol specially designed for the EHWSN. CPEH considers the diversity of the energy harvesting ability among sensors in both cluster formation and intercluster communication. It takes the node’s information such as local energy state, local density, and remote degree into account and uses fuzzy logic to conduct the cluster head selection and cluster size allocation. Meanwhile, the Ant Colony Optimization (ACO) as a reinforcement learning strategy is utilized by CPEH to discover a highly efficient intercluster routing between cluster heads and the base station. Furthermore, to avoid cluster dormancy, CPEH introduces the Cluster Head Relay (CHR) strategy to allow the proper cluster member to undertake the cluster head that is energy depletion. We make a detailed simulation of CPEH with some famous clustering protocols under different network scenarios. The result shows that CPEH can effectively improve the network throughput and delivery ratio than others as well as successfully solve the cluster dormancy problem.

Cluster-based optimal wireless sensor deployment for structural health monitoring

2017 ◽  
Vol 17 (2) ◽  
pp. 266-278 ◽  
Author(s):  
Kun Fang ◽  
Chengyin Liu ◽  
Jun Teng
Keyword(s):  
Wireless Sensor Network ◽  
Structural Health Monitoring ◽  
Sensor Network ◽  
Health Monitoring ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Sensor Deployment ◽  
Structural Health ◽  
Cluster Heads

A well-designed wireless sensor deployment method not only directly influences the number of deployed sensors and data accuracy, but also influences on network topology. As most of the energy cost comes from the transmission and receiving of data packets, clustering optimization in wireless sensor network becomes an important issue for energy-efficient coordination among the densely deployed nodes for data communication. In a typical hierarchical wireless sensor network, total intra-cluster communication distance and total distance of cluster heads to base station depend on number of cluster heads. This work presents a novel approach by selecting the number of clusters in hierarchical wireless sensor network. We analyze and demonstrate the validity of the cluster optimization for wireless sensor deployment using an example of a numerically simulated simply supported truss, in terms of efficient use of the constrained wireless sensor network resources. Followed by a cluster-based optimization framework, we show how to adopt our approach to achieve scalable and efficient deployment, through a comprehensive optimization study of a realistic wireless structural health monitoring system. Finally, we suggest optimal deployment scheme based on the comparative performance evaluation results in the case study.

scholarly journals Prospect Convenient Steadfast Procedure in Wireless Sensor Network

2018 ◽  
Vol 9 (3) ◽  
pp. 613
Author(s):  
Jewan Singh ◽  
Vibhakar Mansotra
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Packet Collision

<p>This article objective is to improve the steadfast routing in Wireless Sensor Networks with little interfering and avoid packet collision. In the scheme, the entire node has the option of electing next Data Communication Node (DCN). The next data communication node is chosen depend on the intensity of link, remaining energy, and the node with distance towards the Base Station. Thus, the sender node transmits the information to the best DCN. Instantly, the DCN sends the acknowledgement (ACK) along with the number of packets received back to the node from which it obtains the data. The sender node assures the delivery of the transmitted packets by comparing the value of number of packets sent with the value obtained with the acknowledgement. If they are equivalent, it will send the verification identity to the DCN. If it is not equivalent, it will decide another node with highest link intensity. After that, the data chooses the DCN and repeat the process until the data reaches the Base Station.</p>

scholarly journals Performance Analysis of Energy Efficient Distributed Cluster Routing Techniques in Wireless Sensor Networks

2020 ◽  
Vol 9 (5) ◽  
pp. 952-956
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Energy Awareness ◽  
Multiple Parameters ◽  
Distributed Cluster

Wireless sensor network consists of small sensing nodes having unique characteristics in networks field and energy awareness routing for communication capabilities, computational power consumption. A wireless sensor network (WSN) is a grouping of sensor nodes in a network that perform to support Sensing, Signal processing, Communications and Connectivity for data processing and transmit the information to the destiny (Base station) through neighboring nodes with the help of energy source (batteries). The batteries used in WSN neither to be recharged nor be replace. It is necessary to extend the network lifetime for better performance. Many protocols have their own specific design but major issue is energy awareness. Based on number of nodes present in the field and the speeds at which the multiple parameters like Packet delivery ratio, network lifetime, overhead control are compared. In this paper, the proposed protocol is an efficient energy routing protocol which tries to provide fairness in network. Simulation results through MATLAB are presented.

scholarly journals An Efficient Mobile Sink based Data Collection Model for Clustered based Wireless Sensor Network

2021 ◽  
Vol 58 (1) ◽  
pp. 1836-1843
Author(s):  
Naveen Ghorpade, Dr. P. Vijaykarthik
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Real Time ◽  
Sensor Network ◽  
Data Communication ◽  
Data Access ◽  
Wireless Sensor ◽  
Low Latency ◽  
Time Data ◽  
Real Time Data

The Wireless Sensor Network (WSN) is considered to be a core component of tomorrow's real-time data communication networks, such as the Internet of Things (IoT). Modern networks need low-latency and high-throughputs in real-time due to a heterogeneous network. The availability of low-latency real-time data access incurs energy costs from the sensor systems. Clustering helped in maintaining the scalability and energy usage of sensors. However, it incurs overhead of the independent cluster head and sensor device within the close range of the sump pump. Since it would take longer transmission and recovery time. This Mine Research Paper introduces an Accessible Mobile Sensor Dependent Data Collection (EMSDC) Model for Cluster Based WSN (CWSN). Experiments are carried out to verify the efficiency of EMSDC and to equate it with the existing versions. The findings of the Latency and Overhead benchmarks demonstrated a lot of progress over the state-of-the-art versions.

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