Energy-Efficient Routing of Mobile Sensor Nodes by QBWR Protocol

2021 ◽  
Author(s):  
Mohan Ram G ◽  
Ilavarsan E

2018 ◽  
Vol 232 ◽  
pp. 04078
Author(s):  
Min Zhang ◽  
Jun-Bin Liang

Mobile wireless sensor networks (MWSN) are composed of a large number of mobile sensor nodes, which are used to collect data. MWSN have been widely applied in a variety of harsh environments, so mobile sensor nodes are often at risk of damage. How to manage mobile sensor nodes is an important issue. In this paper, we analyse different mobility management schemes proposed in some typical research literature and classify these schemes by using three features: the collaboration between mobile sensor nodes, routing and deployment in MWSN. We specify advantages and disadvantages of the proposed schemes, compare different key parameters of MSWN respectively, including energy efficiency, data delay, cost and lifetime, etc. Finally, we discuss existing problems of MWSN management and give some helpful suggestions in this area.



2017 ◽  
Vol 7 (1.2) ◽  
pp. 171
Author(s):  
Varsha Bhatia ◽  
Sunita Kumawat ◽  
Vivek Jaglan

Wireless Sensors network is a type of wireless network, used in diverse applications and has its own set of challenges. Apart from organizing and managing WSN, the main challenges include limited resources, dynamic topology and low scalability. Wireless Sensor nodes are battery operated, so energy scarceness is a major concern. The energy consumption is maximal at the time of data transmission between network devices or nodes. Various energy conservation schemes are applied in WSN; Energy Efficient Routing is one of the possible solutions. Energy Efficient Routing is used to minimize the maintenance cost of the network and maximize the performance of the node. In this paper different hierarchical cluster based routing protocols are discussed.



2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Faris A. Almalki ◽  
Soufiene Ben Othman ◽  
Fahad A. Almalki ◽  
Hedi Sakli

Healthcare is one of the most promising domains for the application of Internet of Things- (IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients’ data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called “MySignals HW V2.” Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay.





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