Analyzing The Reliability Increase And Lifetime Of Wireless Sensor Networks Based On Energy Consumption Reduction

سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: فارسی
مشاهده: 65

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شناسه ملی سند علمی:

RSETCONF17_017

تاریخ نمایه سازی: 9 تیر 1404

چکیده مقاله:

One of the major design challenges in wireless sensor networks (WSN) is to extend the lifetime of the system (node), while achieving an acceptable quality of service for the applications. Extending the lifetime of the node is directly related to reducing energy consumption. In WSNs, each sensor node operates on battery power and in most cases, especially in remote and hostile environments, it is not easy to recharge and replace. Wireless sensor networks are widely used in monitoring and control applications, and due to their remoteness, longevity and reliability are of particular importance in these networks. One of the factors threatening the reliability of these networks is the stored energy in the node battery. To reduce this limitation, energy harvesters are used in some modern wireless sensor networks to obtain the required energy from the surrounding environment. On the other hand, the characteristics of energy harvesters impose new characteristics on the network that create new challenges in increasing reliability. One of the most important characteristics of wireless sensor networks with energy harvesters is the difference in the rate of energy harvesting from the environment around each node, according to environmental conditions. In this project, an attempt has been made to examine the work done in the field of reliability and increasing the lifespan of these networks and to compare their disadvantages and advantages, in order to achieve an effective solution for more reliable packet transmission along with increasing the lifespan of the network. The proposed solution is based on increasing the signal power sent by the transmitting node, which is done according to the rate of energy harvesting from the environment and its prediction in the future. For this purpose, we tried to identify the nodes that take more energy from the environment, according to the variable rate of energy harvesting from the environment, and use them to help nodes that are in less favorable conditions in terms of energy harvesting.

نویسندگان

Arsalan Jalil

۱Electrical Engineering, Sharif University of Technology

Zahra Kavehvash

۲Professor, Electrical Engineering Department, Sharif University of Technology