Volume 30, Issue 3, May 2017, Pages 402–407
G. RAJALAKSHMI1, A.P. SHOPE CHIDIYA2, A. VINITHA3, S. ARCHANA4, and S. PARVATHI5
1 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
2 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
3 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
4 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
5 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The project is to carefully allocate the timely harvested renewable energy of the sensor for Data Sensing and Data Transmission so that the sensors remains active during the whole process by dynamically adjusting its sensing rate and transmission based on the available energy. Rechargeable sensor network offers a wide range of applications in areas such as traffic monitoring, medical care, inhospitable terrain, robotic exploration, and agriculture surveillance. In RSN, thousands of physically embedded sensor sensors are distributed in possibly harsh terrain and in most applications, it is impossible to replenish energy via replacing batteries. So automatically recharge the batteries from solar devices. In order to cooperatively monitor physical or environmental conditions, the main task of sensor sensors is to collect and transmit data. It is well known that transmitting data consumes much more energy than collecting data. The advent of efficient recharge communications and advancement in electronics has enabled the development of low-power, low-cost, and multi functionality sensor sensors that are characterized by miniaturization and integration.
Author Keywords: Data sensing, dynamic topology, energy allocation, energy harvesting, rechargeable sensor networks, routing.
G. RAJALAKSHMI1, A.P. SHOPE CHIDIYA2, A. VINITHA3, S. ARCHANA4, and S. PARVATHI5
1 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
2 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
3 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
4 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
5 DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING, SKP ENGINEERING COLLEGE, THIRUVANNAMALAI-606611, India
Original language: English
Copyright © 2017 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
The project is to carefully allocate the timely harvested renewable energy of the sensor for Data Sensing and Data Transmission so that the sensors remains active during the whole process by dynamically adjusting its sensing rate and transmission based on the available energy. Rechargeable sensor network offers a wide range of applications in areas such as traffic monitoring, medical care, inhospitable terrain, robotic exploration, and agriculture surveillance. In RSN, thousands of physically embedded sensor sensors are distributed in possibly harsh terrain and in most applications, it is impossible to replenish energy via replacing batteries. So automatically recharge the batteries from solar devices. In order to cooperatively monitor physical or environmental conditions, the main task of sensor sensors is to collect and transmit data. It is well known that transmitting data consumes much more energy than collecting data. The advent of efficient recharge communications and advancement in electronics has enabled the development of low-power, low-cost, and multi functionality sensor sensors that are characterized by miniaturization and integration.
Author Keywords: Data sensing, dynamic topology, energy allocation, energy harvesting, rechargeable sensor networks, routing.
How to Cite this Article
G. RAJALAKSHMI, A.P. SHOPE CHIDIYA, A. VINITHA, S. ARCHANA, and S. PARVATHI, “Data Optimization and Secure Data Transfer by Dynamic Sensing and Routing in Rechargeable Sensor Networks,” International Journal of Innovation and Scientific Research, vol. 30, no. 3, pp. 402–407, May 2017.
