Performance Improvement of Clustered WSN by Using Multi-Tier Clustering

2016 ◽  
pp. 541-564
Author(s):  
Yogesh Kumar Meena ◽  
Aditya Trivedi
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Energy Savings ◽  
Network Models ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Systems ◽  
Sensor Networking ◽  
Technical Issues ◽  
Clustering Approach

In the last few decades, the Wireless Sensor Network (WSN) paradigm has received huge interest from the industry and academia. Wireless sensor networking is used in various fields like weather monitoring, wildfire detection/monitoring, battlefield surveillance, security systems, military applications, etc. Moreover, various networking and technical issues still need to be addressed for successful deployment of WSN, especially power management. In this chapter, the various methods of saving energy in sensor nodes and a method by which energy can be saved are discussed with emphasis on various energy saving protocols and techniques, and the improvement in the Performance of Clustered WSN by using Multi-tier Clustering. By using a two-tier architecture in the clustering and operation of sensor nodes, an increase in the network lifetime of the WSN is gained. Since this clustering approach has better results in term of energy savings and organizing the network, the main objective of this chapter is to describe power management techniques, two-tier architecture, clustering approaches, and network models to save the energy of a sensor network.

Performance Improvement of Clustered WSN by Using Multi-Tier Clustering

2014 ◽  
pp. 365-388
Author(s):  
Yogesh Kumar Meena ◽  
Aditya Trivedi
Keyword(s):  
Sensor Network ◽  
Power Management ◽  
Energy Savings ◽  
Network Models ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Security Systems ◽  
Sensor Networking ◽  
Technical Issues ◽  
Clustering Approach

In the last few decades, the Wireless Sensor Network (WSN) paradigm has received huge interest from the industry and academia. Wireless sensor networking is used in various fields like weather monitoring, wildfire detection/monitoring, battlefield surveillance, security systems, military applications, etc. Moreover, various networking and technical issues still need to be addressed for successful deployment of WSN, especially power management. In this chapter, the various methods of saving energy in sensor nodes and a method by which energy can be saved are discussed with emphasis on various energy saving protocols and techniques, and the improvement in the Performance of Clustered WSN by using Multi-tier Clustering. By using a two-tier architecture in the clustering and operation of sensor nodes, an increase in the network lifetime of the WSN is gained. Since this clustering approach has better results in term of energy savings and organizing the network, the main objective of this chapter is to describe power management techniques, two-tier architecture, clustering approaches, and network models to save the energy of a sensor network.

Design and Research of Low-Energy Consumption Sensor Nodes in a Smart-Scene System

2013 ◽  
Vol 705 ◽  
pp. 352-358
Author(s):  
Chun Xiao Fan ◽  
Ran Li ◽  
Jun Wei Zou ◽  
Ye Qiao Wang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Management ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Dynamic Power Management ◽  
Depth Analysis ◽  
Low Energy Consumption ◽  
Reduce Energy Consumption

This paper introduces an application of wireless sensor network based on the ZigBee -- the Smart-Scene system. In-depth analysis of factors of invalid power consumption, a functional separated sink node is designed and a DPM (Dynamic Power Management) schema of dynamic node based on event-driven is proposed. The schema is used in Smart-Scene system and the experimental results indicate it is high feasibility and reduce energy consumption. This method will become an effective solution for wireless sensor network.

scholarly journals A Novel Clustering Approach in Wireless Sensor Network Using Genetic Algorithm and Fuzzy Logic

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Fatemehzahra Gholami Tirkolaei ◽  
Faramarz E. Seraji
Keyword(s):  
Fuzzy Logic ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Main Challenge ◽  
Clustering Approach ◽  
Reduce Energy Consumption ◽  
Reduction Of Energy Consumption

<p>Wireless sensor network consists of hundred or thousand sensor nodes that are connected together and work simultaneously to perform some special tasks. The restricted energy of sensor nodes is the main challenge in wireless sensor network as node energy depletion causes node death. Therefore, some techniques should be exerted to reduce energy consumption in these networks. One of the techniques to reduce energy consumptions most effectively is the use of clustering in wireless sensor networks.</p><p>There are various methods for clustering process, among which LEACH is the most common and popular one. In this method, clusters are formed in a probabilistic manner. Among clustering strategies, applying evolutional algorithm and fuzzy logic simultaneously are rarely taken into account. The main attention of previous works was energy consumption and less attention was paid to delay.</p><p>In the present proposed method, clusters are constructed by an evolutional algorithm and a fuzzy system such that in addition to a reduction of energy consumption, considerable reduction of delay is also obtained. The simulation results clearly reveal the superiority of the proposed method over other reported approaches.</p>

scholarly journals Prolonging the Lifetime of Two-Tiered Wireless Sensor Networks with Mobile Relays

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Theodore C. Kotsilieris ◽  
George T. Karetsos
Keyword(s):  
Energy Savings ◽  
Relay Node ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Relay Nodes ◽  
Large Numbers ◽  
Sensor Networking ◽  
Key Aspects ◽  
Networking Architectures ◽  
Mobile Relay

We propose a clustering scheme for wireless sensor nodes in hierarchical wireless sensor networking architectures that employs mobile relay nodes in order to achieve energy conservation and network lifetime prolongation. The key aspects of our scheme are relay node relocation and reclustering when failures are detected. The performance of the proposed approach is evaluated via simulations for various topology layouts based on the sensor node population and number of mobile relay nodes employed. The results show significant energy savings in particular for topologies with large numbers of sensors.

scholarly journals Review on Localization based Routing Protocols for Underwater Wireless Sensor Network

2017 ◽  
Vol 7 (1) ◽  
pp. 536
Author(s):  
Mukhtiar Ahmed ◽  
Mazleena Salleh ◽  
M.Ibrahim Channa ◽  
Mohd Foad Rohani
Keyword(s):  
Comparative Analysis ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Network Models ◽  
Propagation Delay ◽  
Error Rates ◽  
Sensor Nodes ◽  
Wireless Sensor

<span>Underwater Wireless Sensor Network (UWSN) can enable many scientific, military, safety, commercial and environmental applications. Majority of the network models has been introduced for the deployment of sensor nodes through routing schemes and methodologies along with different algorithms but still the design of routing protocol for underwater environment is a challenging issue due to distinctive characteristics of underwater medium. The majority of the issues are also needed to fulfill the appropriate approach for the underwater medium like limited bandwidth, high bit error rates, propagation delay, and 3D deployment. This paper focuses the comparative analysis of the localization based routing protocols for UWSN. This comparative analysis plays a significant attention to construct a reliable routing protocol, which provides the effectual discovery of the route between the source node and the sink node. In addition this comparative analysis also focuses the data packets forwarding mechanism, the deployment of sensor nodes and location based routing for UWSN in different conditions.</span>

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

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.

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

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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