Comprehensive Review of Routing Protocols in Wireless Sensor Networks

2014 ◽  
Vol 513-517 ◽  
pp. 1709-1712
Author(s):  
Faizan Ali Siddiqui ◽  
Qing Ling Liu ◽  
Muhammad Hashim
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Low Cost ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Starting Point ◽  
And Control ◽  
Future Work ◽  
Physical Phenomena

Wireless sensor networks (WSNs) are attracting great interest in a number of application domains concerned with monitoring and control of physical phenomena, as they enable dense and boundless deployments at low-cost and with excellent flexibility. Extensive usage of WSN is the reason of development of any routing protocols. The main contribution of this article is an extensive survey and classification of the routing protocols in WSN. Routing protocols are classified under seven categories (Location-Based, Data Centric, Hierarchical-Based, Mobility-Based, Multipath-Based, Heterogeneity based and Quality of Service (QoS)-Based.). Each protocol is described and discussed with advantage and disadvantages. The challenges faced by WSN are also mentioned in this paper and finally to set the milestone for future work. For researchers, this paper serves as a starting point into research in designing routing protocols for WSNs effectively and efficiently. Any reader who is interested in improving their knowledge of the technical concepts will find a list of references and recent publications at the end of this paper.

Deploying wireless sensor networks-based smart grid for smart meters monitoring and control

2018 ◽  
Vol 31 (10) ◽  
pp. e3557 ◽  
Author(s):  
Renato William R. de Souza ◽  
Leonardo R. Moreira ◽  
Joel J. P. C. Rodrigues ◽  
Rafael R. Moreira ◽  
Victor Hugo C. de Albuquerque
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grid ◽  
Wireless Sensor ◽  
Monitoring And Control ◽  
Smart Meters ◽  
And Control

scholarly journals Evaluating the Power Consumption of Routing Protocols for Wireless Sensor Networks under different Metric Parameters

2019 ◽  
Vol 8 (3) ◽  
pp. 1922-1928
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Routing Protocols ◽  
Mobile Ad Hoc Network ◽  
Low Cost ◽  
Wireless Sensor ◽  
Main Step ◽  
Mobile Nodes ◽  
Study Protocols

Due to their self-organizing, rapid deployment and low-cost features, mobile ad hoc network (MANET) are proving to be a promising architecture for communicating between wireless links between mobile nodes. Despite the many advantages of wireless sensor networks in many areas, they have many problems such as managing the power consumption of mobile devices, selecting the routing protocol, limiting bandwidth and the shortest path. In order to achieve a good service quality, to ensure the routing of the information and to extend the lifetime of the entire network, the analysis of the protocol’s performance is the main step to make before the selection of protocol. Therefore, the selected protocol should have the best results in terms of delivery and data integrity. This article presents a performance analysis of some routing protocols namely, DSDV, OLSR, DSR, and AODV, which are evaluated and simulated using the NS2 simulator. The results of the simulation give the better performance of routing study protocols based on the average end-to-end delay, throughput, and packet delivery.

scholarly journals The Management of Indoor Thermal Comfort with Wireless Sensor Networks

2017 ◽  
Vol 50 (9-10) ◽  
pp. 206-213 ◽  
Author(s):  
Sinan Uguz ◽  
Osman Ipek
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Environmental Factors ◽  
Thermal Comfort ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Space Heating ◽  
Monitoring And Control ◽  
Comfort Index ◽  
And Control

In this study, real-time monitoring and control platform based on thermal comfort was developed to control space heating in living spaces. To calculate the thermal comfort level in a living space, environmental factors such as indoor air temperature, mean radiant temperature, air velocity, and humidity are needed. In order to obtain the environmental factors, sensor nodes based on wireless sensor networks were developed. According to the data obtained from the sensor nodes, the thermal comfort index was calculated, and radiators used for space heating were controlled via monitoring and control software based on PC. Furthermore, several experiments were performed between living spaces where real-time monitoring and control platform was installed and living spaces heated with conventional methods. The measurements were carried out in four rooms at the Faculty of Technology of Suleyman Demirel University in Turkey during the winter season. The heat transferred from room radiators by creating proper conditions that can change the thermal comfort index was compared in the experiments. During experimental measurements, it was observed that the heat transferred to the environment through the room radiators reduced significantly, especially with closed doors and windows.

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