• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

A Proactive Dissemination Protocol using Residual Energy and Signal Strength for WSNs


Soo-Yeon Park, Moon-Seong Kim, Eui-Hoon Jeong, Young-Cheo Bang, Journal of Internet Computing and Services, Vol. 11, No. 4, pp. 33-40, Aug. 2010
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Keywords: Wireless Sensor Networks, Proactive Data Dissemination Protocol, Flooding, SPIN, SPMS

Abstract

In this paper, a data dissemination protocol that transmits data collected for Wireless Sensor Networks (WSNs) is newly proposed, and the proposed proactive protocol takes into account energy consumption minimized and delay time disseminated. The well-known SPMS (Shortest Path Mined SPIN) forms the shortest path-based routing table obtained by Bellman Ford Algorithm (BFA) and disseminates data using a multi-hop path in order to minimize energy consumption. The mentioned properties of SPMS cause memory burden to create and maintain the routing tables. In addition, whenever BFA is executed, it is necessary to suffer from the energy consumption and traffic occurred. In order to overcome this problem, a proactive dissemination protocol using Residual Energy and Signal Strength, called RESS, is proposed in this paper. Simulation results show that RESS outperforms SPMS up to 84% in terms of the number of traffic messages and the transmitted delay time of RESS is similar to that of SPMS using the shortest path.


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Cite this article
[APA Style]
Park, S., Kim, M., Jeong, E., & Bang, Y. (2010). A Proactive Dissemination Protocol using Residual Energy and Signal Strength for WSNs. Journal of Internet Computing and Services, 11(4), 33-40.

[IEEE Style]
S. Park, M. Kim, E. Jeong, Y. Bang, "A Proactive Dissemination Protocol using Residual Energy and Signal Strength for WSNs," Journal of Internet Computing and Services, vol. 11, no. 4, pp. 33-40, 2010.

[ACM Style]
Soo-Yeon Park, Moon-Seong Kim, Eui-Hoon Jeong, and Young-Cheo Bang. 2010. A Proactive Dissemination Protocol using Residual Energy and Signal Strength for WSNs. Journal of Internet Computing and Services, 11, 4, (2010), 33-40.