Data Aggregation and Transmission Mechanism for Energy Adaptive Node in Wireless Sensor Networks 


Vol. 36,  No. 11, pp. 903-911, Nov.  2011


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  Abstract

In this paper we proposed an energy adaptive data aggregation and transmission mechanism to solve the problem of energy limitation in wireless sensor networks (WSNs). Hierarchical structure methods are wildly used in WSNs to improve the energy efficiency. LEACH and TEEN protocols are the typical techniques. In these methods, all nodes, including nodes who have sensed data to transmit and nodes who haven’t, are set frame timeslots in every round. MNs (member nodes) without sensed data keep active all the time, too. These strategies caused energy waste. Furthermore, if data collection in MNs is same to the previous transmission, it increases energy consumption. Most hierarchical structure protocols are developed based on LEACH. To solve the above problems, this paper proposed a method in which only MNs with sensed data can obtain allocated frame to transmit data. Moreover, if the MNs have same sensed data with previous, MNs turn to sleep mode. By this way redundant data transmission is avoided and aggregation in CH is lightened, too.

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  Cite this article

[IEEE Style]

Y. Cho, M. You, S. Lee, "Data Aggregation and Transmission Mechanism for Energy Adaptive Node in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 11, pp. 903-911, 2011. DOI: .

[ACM Style]

Young-bok Cho, Mi-kyung You, and Sang-ho Lee. 2011. Data Aggregation and Transmission Mechanism for Energy Adaptive Node in Wireless Sensor Networks. The Journal of Korean Institute of Communications and Information Sciences, 36, 11, (2011), 903-911. DOI: .

[KICS Style]

Young-bok Cho, Mi-kyung You, Sang-ho Lee, "Data Aggregation and Transmission Mechanism for Energy Adaptive Node in Wireless Sensor Networks," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 11, pp. 903-911, 11. 2011.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880