SWER:small world-based efficient routing for wireless sensor networks with mobile sinks

Xuejun LIU 1, Jihong GUAN 2, Guangwei BAI 3, Haiming LU 3,

Front. Comput. Sci. ›› 2009, Vol. 3 ›› Issue (3) : 427-434.

PDF(369 KB)
PDF(369 KB)
Front. Comput. Sci. ›› 2009, Vol. 3 ›› Issue (3) : 427-434. DOI: 10.1007/s11704-009-0052-0
Research articles

SWER:small world-based efficient routing for wireless sensor networks with mobile sinks

  • Xuejun LIU 1, Jihong GUAN 2, Guangwei BAI 3, Haiming LU 3,
Author information +
History +

Abstract

The interest in small-world network has highlighted the applicability of both the graph theory and the scaling theory to the analysis of network systems. In this paper, we introduce a new routing protocol, small world-based efficient routing (SWER), dedicated to supporting sink mobility and small transfers. The method is based on the concept of the small worlds where the addition of a small number of long-range links in highly clustered networks results in significant reduction in the average path length. Based on the characteristic of sensor networks, a cluster-based small world network is presented, and an analytical model is developed to analyze the expected path length. SWER adopts a simple and effective routing strategy to forward data to the mobile sink in a small transfer scene and avoid expensive mechanisms to construct a high quality route. We also study the routing scheme and analyze the expected path length in the case where every node is aware of the existence of p longrange links. In addition, we develop a hierarchical mechanism in which the mobile sink only transmits its location information to the cluster heads when it enters a new cluster. Thus we also avoid expensive cost to flood the location of the mobile sink to the whole network.

Keywords

sensor networks / small world / routing scheme / mobile sinks

Cite this article

Download citation ▾
Xuejun LIU , Jihong GUAN , Guangwei BAI , Haiming LU ,. SWER:small world-based efficient routing for wireless sensor networks with mobile sinks. Front. Comput. Sci., 2009, 3(3): 427‒434 https://doi.org/10.1007/s11704-009-0052-0
AI Summary AI Mindmap
PDF(369 KB)

Accesses

Citations

Detail

Sections
Recommended

/