BitSNAP: Dynamic Significance Compression for a Low-Energy Sensor Network Asynchronous Processor

<p class="0abstract"><span lang="EN-US">Wireless sensor network is a new field of computer science and technology research. It has a very broad application prospects. In order to improve the network survival time, it is very important to design efficient energy-constrained routing protocols. In this paper, we studied the characteristics of wireless sensor networks, and analyzed the design criteria of sensor network routing algorithms. In view of the shortcomings of traditional algorithms, we proposed an energy-aware multi-path algorithm. When selecting a data transmission path, the energy-aware multi-path algorithm can avoid nodes with low energy levels. At the same time, it takes the remaining energy of the node and the number of hops as one of the measures of the path selection. The multi-path routing algorithm realized the low energy consumption of the data transmission path, thus effectively prolonging the network lifetime. Compared with the traditional algorithm, the results show that our method has high reliability and energy efficiency.</span></p>

Download Full-text

Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

Fire Technology ◽

10.1007/s10694-014-0439-9 ◽

2014 ◽

Vol 51 (4) ◽

pp. 971-993 ◽

Cited By ~ 15

Author(s):

Xavier Silvani ◽

Frédéric Morandini ◽

Eric Innocenti ◽

Sylvestre Peres

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Low Cost ◽

Fire Detection ◽

Low Energy ◽

Wireless Sensor ◽

Low Energy Consumption

Download Full-text

Low-energy Adaptive Clustering Hierarchy protocol and optimal number of cluster head algorithm in a randomized wireless sensor network deployment

2017 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) ◽

10.1109/iceeccot.2017.8284632 ◽

2017 ◽

Cited By ~ 1

Author(s):

Gino Alvarado ◽

Carlos Bosquez ◽

Fernando Palacios ◽

Luis Cordoba

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Cluster Head ◽

Optimal Number ◽

Low Energy ◽

Wireless Sensor ◽

Adaptive Clustering

Download Full-text

Physical Wellbeing Monitoring Employing Non-Invasive Low-Cost and Low-Energy Sensor Socks

Sensors ◽

10.3390/s18092822 ◽

2018 ◽

Vol 18 (9) ◽

pp. 2822 ◽

Cited By ~ 3

Author(s):

Laura García ◽

Lorena Parra ◽

Jose Jimenez ◽

Jaime Lloret

Keyword(s):

Energy Consumption ◽

Monitoring System ◽

Low Cost ◽

Wearable Devices ◽

Initial Energy ◽

Low Energy ◽

Non Invasive ◽

Energy Sensor ◽

Physical Wellbeing ◽

Evaluation Module

Determining and improving the wellbeing of people is one of the priorities of the OECD countries. Nowadays many sensors allow monitoring different parameters in regard to the wellbeing of people. These sensors can be deployed in smartphones, clothes or accessories like watches. Many studies have been performed on wearable devices that monitor certain aspects of the health of people, especially for specific diseases. In this paper, we propose a non-invasive low-cost and low-energy physical wellbeing monitoring system that provides a wellness score based on the obtained data. We present the architecture of the system and the disposition of the sensors on the sock. The algorithm of the system is presented as well. The wellness threshold evaluation module allows determining if the monitored parameter is within healthy ranges. The message forwarding module allows decreasing the energy consumption of the system by detecting the presence of alerts or changes in the data. Finally, a simulation was performed in order to determine the energy consumption of the system. Results show that our algorithm allows saving 44.9% of the initial energy in 10,000 min for healthy people.

Download Full-text