Energy Efficient and High Dissemination Rate Method Considering Extended Transmission Distances on a Wireless Sensor Network

From the electric power consumed by sensor nodes comprising a wireless sensor network, a very large proportion is used to transmit and receive information wirelessly. Because most sensor nodes are battery-powered, long-term operation requires unnecessary wireless transmission to be minimized. There is currently insufficient research on cases involving increased wireless transmission distance and the accompanying increased power consumption. This paper proposes a new, effective method for information dissemination in situations with increased wireless transmission distances. The proposed method is able to minimize power consumption by not performing transmission if the message is considered already disseminated. Additionally, with increased wireless transmission distance, the number of instances of cancelled message transmission increases, further reducing the transmission and reception loads. Simulations demonstrated that the proposed method is effective at keeping power consumption increases to a minimum while greatly improving information dissemination rates, even in cases with increased transmission distances. Unlike the existing methods, the proposed method can improve dissemination rates without increasing power consumption in sensor networks, making it highly innovative and effective.

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A wireless sensor network for high-tech agriculture

Science and Technology Development Journal - Natural Sciences ◽

10.32508/stdjns.v3i4.704 ◽

2020 ◽

Vol 3 (4) ◽

pp. 259-270

Author(s):

Nhan Chi Nguyen ◽

Hoang Huy Nguyen ◽

Tuan Ngoc Pham

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Low Power ◽

Sensor Network ◽

Data Transmission ◽

Urban Environments ◽

Sensor Nodes ◽

Wireless Sensor ◽

High Tech ◽

Area Network

This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updated every 15 minutes. The results show that the wireless sensor network system operates stably, data constantly updated to LoRa Server and there was not data packet loss. The power consumption of sensor node and gateway determined in three operating modes: transmitting, receiving, turn-off. This shows the advantages of LoRa technology in the development of wireless sensor network which is the distance of data transmission distance and low power consumption. Besides this WSN also tested in the net house of aquaponics of the Research Center for High-tech Application in Agriculture (RCHAA), University of Science, Vietnam National University-HCM. The results show that the WSN system is working reliably and promising which brings significantly benefits to smart agriculture as aquaponics, clean vegetable farms, aquaculture farms…

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A Protocol for The Effective Utilization of Energy in Wireless Sensor Network

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i3.3.14495 ◽

2018 ◽

Vol 7 (3.3) ◽

pp. 93 ◽

Cited By ~ 2

Author(s):

Santosh Anand ◽

Akarsha RR

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Low Cost ◽

Energy Utilization ◽

Sensor Nodes ◽

Wireless Sensor ◽

Battery Life ◽

Effective Utilization ◽

Multiple Paths

Energy utilization is an important aspect in any Wireless Sensor Network .The data transmission from various components connected over real-time networks consumes more energy in Wireless Sensor Network. Mainly the task of any network engineer lies in performing an energy efficient, so to reserve the nonrenewable energy supply to sensor nodes. The research convey out effective utilization of energy in wireless sensor networks. It is important to comprise long-term and low-cost monitoring in different WSN application. The network algorithms separated mainly in two parts, first to generate multiple paths and second to switch paths from generated list of paths .Which is implemented as multi-hop-communication so that the battery life of the sensor node may live for long term and low cost of monitoring, which achieve the high lifetime of WSN.

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Cooja Based Approach for Estimation and Enhancement of Lifetime of 6LoWPAN Environment

International Journal of Sensors Wireless Communications and Control ◽

10.2174/2210327909666190409124604 ◽

2020 ◽

Vol 10 (2) ◽

pp. 207-216

Author(s):

Ruchi Garg ◽

Sanjay Sharma

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Sensor Network ◽

Power Saving ◽

Life Time ◽

Sensor Nodes ◽

Wireless Sensor ◽

Packet Size ◽

Suggested Approach ◽

Header Compression

Background and Objective: The Scale with which Internet of Things (IoT) is penetrating our day to day life, time is not far away when it would be the Internet of Everything (IoE) that will require billions of devices to communicate with each other in the real world. To cater to the same, Wireless Sensor Network (WSN) is composed of 6LoWPAN sensor-nodes, which are mainly battery operated. One of the major issues, in such network, is nodes’ limited lifetime which is battery dependent. Methods: In this paper, we have suggested and implemented an approach for ‘Estimation and Enhancement of Lifetime of Wireless Sensor Network’ (E&EL-WSN). The aim of our study is to suggest an approach that helps in power saving of the batteries of sensor-nodes and will result in enhanced life-time of 6LoWPAN environment. Our suggested approach is based on the concept of reduced packet size resulting in saving of power consumption. Packet size is reduced by our Modified and Improved Header Compression (MIHC) method of IPv6 header compression. Results: The simulation, done in Cooja, shows, in our case, an improvement of approximately 19% saving of power consumption. This results in an enhancement of 70 days in the lifetime of the network, which is almost 23% better than the existing approach.

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Improving Localization in Wireless Sensor Network Using Fixed and Mobile Guide Nodes

Journal of Sensors ◽

10.1155/2016/6385380 ◽

2016 ◽

Vol 2016 ◽

pp. 1-5 ◽

Cited By ~ 1

Author(s):

R. Ahmadi ◽

G. Ekbatanifard ◽

A. Jahangiry ◽

M. Kordlar

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Sensor Network ◽

Low Cost ◽

High Accuracy ◽

Wireless Sensor ◽

Low Power Consumption ◽

Complete Coverage ◽

Network Localization

Wireless sensor network contains very large number of tiny sensors; some nodes with known position are recognized as guide nodes. Other nodes with unknown position are localized by guide nodes. This article uses the combination of fixed and mobile guide nodes in wireless network localization. So nearly 20% of nodes are fixed guide nodes and three nodes are intended as mobile guide nodes. To evaluate the proficiency, the proposed algorithm has been successfully studied and verified through simulation. Low cost, high accuracy, and low power consumption of nodes and complete coverage are the benefits of this approach and long term in localization is the disadvantage of this method.

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A Fuzzy-Based Management for Power-Aware Wireless Sensor Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.479-480.758 ◽

2013 ◽

Vol 479-480 ◽

pp. 758-762

Author(s):

Shu Ching Wang ◽

Shun Sheng Wang ◽

Ching Wei Chen ◽

Kuo Qin Yan

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Sensor Network ◽

Mobile Agent ◽

Consumption Rate ◽

Mobile Network ◽

Sensor Nodes ◽

Wireless Sensor ◽

Important Type ◽

Inference Systems

In recent years, Wireless Sensor Network (WSN) is one important type of mobile network that consists of many sensor nodes (SNs). The power consumption rate and bandwidth of each SN becomes an important issue and needs to be addressed. For increasing the reliability of WSN, this paper proposed a power-aware mechanism to select a stable manager from SNs by fuzzy based inference systems based on the factors of speed, power and location. Further, our mechanism can trigger a mobile agent to distribute the managerial workload.

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A Practical Approach to Provide Security in IEEE 802.15.4 Wireless Sensor Network

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.568-570.503 ◽

2014 ◽

Vol 568-570 ◽

pp. 503-507 ◽

Cited By ~ 1

Author(s):

Hui Lin

Keyword(s):

Wireless Sensor Network ◽

Power Consumption ◽

Sensor Network ◽

Ieee 802.15.4 ◽

Sensor Nodes ◽

Practical Approach ◽

Wireless Sensor ◽

Wireless Sensor Nodes ◽

And Performance ◽

Point To Point

During last years, IEEE 802.15.4 has been asserting itself as one of the most promising standards for Wireless Sensor Network. It includes a security sublayer, which provides a number of operations and procedures aimed at securing network communications. But providing security features and power consumption together face a trade-off. In spite of so many research works discussing IEEE 802.15.4 security service, so far not so many focus on their implementation and performance. This paper discusses some security aspects of IEEE 802.15.4, and presents a practical approach to secure point to point link between wireless sensor nodes in details, supporting all the security suites of the standard. The results demonstrated that our approach achieved significantly lower power consumption and higher performance in security.

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An Effective Congestion Control Algorithm based on Traffic Assignment and Reassignment in Wireless Sensor Network

Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) ◽

10.2174/2352096513999200628095848 ◽

2020 ◽

Vol 13 (8) ◽

pp. 1166-1174

Author(s):

Chao Wang

Keyword(s):

Wireless Sensor Network ◽

Congestion Control ◽

Sensor Network ◽

Traffic Assignment ◽

Transmission Rate ◽

Sensor Nodes ◽

Wireless Sensor ◽

Congestion Detection ◽

Detection Technology ◽

Average Transmission

Background: It is important to improve the quality of service by using congestion detection technology to find the potential congestion as early as possible in wireless sensor network. Methods: So an improved congestion control scheme based on traffic assignment and reassignment algorithm is proposed for congestion avoidance, detection and mitigation. The congestion area of the network is detected by predicting and setting threshold. When the congestion occurs, sensor nodes can be recovery quickly from congestion by adopting reasonable method of traffic reassignment. And the method can ensure the data in the congestion areas can be transferred to noncongestion areas as soon as possible. Results: The simulation results indicate that the proposed scheme can reduce the number of loss packets, improve the throughput, stabilize the average transmission rate of source node and reduce the end-to-end delay. Conclusion: : So the proposed scheme can enhance the overall performance of the network. Keywords: wireless sensor network; congestion control; congestion detection; congestion mitigation; traffic assignment; traffic reassignment.

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A Remote Monitoring System of Logistics Carrier Based on Wireless Sensor Network

International Journal of Online Engineering (iJOE) ◽

10.3991/ijoe.v14i01.8056 ◽

2018 ◽

Vol 14 (01) ◽

pp. 4

Author(s):

Wang Weidong

Keyword(s):

Wireless Sensor Network ◽

Real Time ◽

Sensor Network ◽

Monitoring System ◽

Remote Monitoring ◽

Monitoring Network ◽

Sensor Nodes ◽

Wireless Sensor ◽

Remote Monitoring System ◽

Monitoring Center

To improve the efficiency of the remote monitoring system for logistics transportation, we proposed a remote monitoring system based on wireless sensor network and GPRS communication. The system can collect information from the wireless sensor network and transmit the information to the ZigBee interpreter. The monitoring system mainly includes the following parts: Car terminal, GPRS transmission network and monitoring center. Car terminal mainly consists by the Zigbee microcontroller and peripherals, wireless sensor nodes, RFID reader, GPRS wireless communication module composed of a micro-wireless monitoring network. The information collected by the sensor communicates through the GPRS and the monitoring center on the network coordinator, sends the collected information to the monitoring center, and the monitoring center realizes the information of the logistics vehicle in real time. The system has high applicability, meets the design requirements in the real-time acquisition and information transmission of the information of the logistics transport vehicles and goods, and realizes the function of remote monitoring.

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Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽

10.3390/s21093000 ◽

2021 ◽

Vol 21 (9) ◽

pp. 3000

Author(s):

Sadeeq Jan ◽

Eiad Yafi ◽

Abdul Hafeez ◽

Hamza Waheed Khatana ◽

Sajid Hussain ◽

...

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Propagation Delay ◽

Data Packet ◽

Wireless Sensor ◽

Delivery Ratio ◽

Term Survival ◽

Limited Bandwidth ◽

Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

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