A Study on the Implementation of Dynamic Routing Algorithm to Improve Efficiency for Wireless Sensor Networks

Abstract:

The development of wireless communication and electronic technology leads to wireless sensor networks in various fields. Wireless sensor networks can exchange the data that generated from near environment field observation between other sensor nodes. Generally, Wireless sensor networks consist of multi sensor nodes and one or more sink nodes The sensor sensing data that nodes detected transmit from sensor networks to base station and deliver to users through internet. However sensor networks are restricted in the aspects of communication, processing data and energy consumption. Because of the low capacity batteries with devices of sensor networks, it is important to increase the lifespan operation life of sensor nodes by using energy efficiently. In this kind of sensor nodes, the energy consumption for message sending and receiving is very important for the maintenance of sensor nodes. In the existing static routing method, it consumes more energy for the maintenance of sensor network than dynamic routing method because data transmits repeatedly when the sensor data begin to spread. In this study, based on the difference in the cycle of information gathering in accordance with the characteristic of the sensor in sensor network and the cycle of demands from the sink in accordance with the characteristic of application layer, dynamic routing of wireless sensor network is proposed which actively responds to its various needs.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 2021-2026
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.2021
• Online since: January 2013
• Authors: Won Hyuck Choi, Min Seok Jie
• Keywords: Dynamic Routing Algorithm, Wireless Sensor Network (WSN)

References

[1] S. Hadim and N. Mohamed, Middleware: Middleware Challenges and Approaches for Wireless Sensor Networks, IEEE Distributed Systems Online, Vol. 7, No. 3, Mar. (2006).

DOI: 10.1109/mdso.2006.19

[2] Yi Shang et al., Localization from Connectivity in Sensor Networks, IEEE Transactions on Paralleland Distributed Systems, Vol. 15, No. 11, Nov. (2004).

[3] Yi Shang et al., Localization from Mere Connectivity, MobiHoc, (2003).

[4] Yi Shang and Wheeler Ruml, Improved MDS-Based Localization, IEEE INFOCOM, ( 2004).

DOI: 10.1109/infcom.2004.1354683

[5] Xiang Ji and Honguuan Zha, Sensor Positioning in Wireless Ad-hoc Sensor Networks Using Multidimensional Scaling, IEEE INFOCOM, (2004).

DOI: 10.1109/infcom.2004.1354684

[6] Jose A. Costa, Neal Patwari, and Alfred O. Hero III, Distributed Multidimensional Scaling with Adaptive Weighting for Node Localization in Sensor Networks, ACM Transactions on Sensor Networks, June (2004).

DOI: 10.1145/1138127.1138129

[7] Neal Patwari, Joshua N. Ash, Spyros Kyperountas, Alfred O. Hero III, Randolph L. Moses, and Neiyer S. Correal, Locating the Nodes – Cooperative Localization in Wireless Sensor Networks, IEEE Signal Processing Magazine, July (2005).

DOI: 10.1109/msp.2005.1458287

[8] David Taubenheim et al., Distributed Radio location Hardware Core for IEEE 802. 15. 4, Motorola Labs, ( 2005).