Improvement in End-to-End delay and Energy Consumption using Routing Algorithms in Wireless Sensor Network
Sunita1, O.S Khanna2, Amandeep Kaur3
1Sunita, M.E Student (ECE), National Institute of Technical Teachers Training and Research Sector- 26, Chandigarh, India
2Mr. O.S Khanna, Associate Professor (ECE), National Institute of Technical Teachers Training and Research Sector- 26, Chandigarh, India.
3Amandeep Kaur, M.E Student (ECE), National Institute of Technical Teachers Training and Research Sector- 26, Chandigarh, India.
Manuscript received on February 07, 2013. | Revised Manuscript received on February 26, 2013. | Manuscript published on March 05, 2013. | PP: 46-51 | Volume-3 Issue-1, March 2013. | Retrieval Number: A1292033113/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The popularity of Wireless Sensor Networks has increased tremendously due to the vast potential of the sensor networks to connect the physical world with the virtual world. In wireless sensor network one of the main problems is related to energy issue because every node is operated by battery. In wireless sensor networks, sensors consume energy both in sensing data and in transmitting the sensed data to a base station. The power consumption for transmitting data is an exponential function of the distance from the sensor to the base station, while the power consumption for sensing data is determined by the type of sensor as well as the routing protocol. The problem in this paper is to increase the life time of the sensor networks. To have large network life time all nodes need to minimize their energy consumption. Node is composed of small battery so that the energy associated with this node is very less. So replacing and refilling of battery is not possible which is very costly. Hence some techniques are applied through which the energy associated with each node can be conserved. This paper proposes two algorithms, to minimize the energy consumption and end-to-end delay. Using both algorithm, there is improvement in energy consumption and end-to-end delay.
Keywords: Wireless Sensor Networks, Energy Consumption, Multi-path Routing, Lifetime of wireless sensor network, end- to-end delay.