DocumentCode
1626591
Title
Epidemic-Based Controlled Flooding and Adaptive Multicast for Delay Tolerant Networks
Author
Jin, Zhigang ; Wang, Jia ; Zhang, Sainan ; Shu, Yantai
Author_Institution
Sch. of Electron. & Inf. Eng., Tianjin Univ., Tianjin, China
fYear
2010
Firstpage
191
Lastpage
194
Abstract
Delay Tolerant Networks (DTN) is a kind of sparse Ad Hoc networks in which no contemporaneous path exists between any two nodes most of the time. Multicasting in DTN is a desirable feature for applications where some form of group communication is in demand. In this paper, we propose a multicast protocol for DTN: ECAM (Epidemic-based Controlled Flooding and Adaptive Multicast for Delay Tolerant Networks). It limits the time and range of message transmission, so that the huge consumption of network resources caused by flooding can be saved. Meanwhile, ECAM adopts the adaptive mechanism to work well under diverse network conditions with different node densities. We study its performance through comparative simulations in the Qual Net networks simulator. The simulation results show that ECAM could outperform existing epidemic approaches. Our routing strategies can achieve higher message delivery ratios and lower average message copies.
Keywords
ad hoc networks; data communication; diseases; electronic messaging; floods; multicast protocols; network routing; ECAM; QualNet network simulator; adaptive multicast; average message copy; contemporaneous path; delay tolerant network; diverse network condition; epidemic based controlled flooding; message delivery rati; message transmission; multicast protocol; network resource; routing strategy; sparse ad hoc network; Adaptive systems; Algorithm design and analysis; Delay; Floods; Routing; Routing protocols; DTN; adaptive; controlled flooding; epidemic; hierarchical;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), 2010 7th International Conference on
Conference_Location
Xian, Shaanxi
Print_ISBN
978-1-4244-9043-1
Electronic_ISBN
978-0-7695-4272-0
Type
conf
DOI
10.1109/UIC-ATC.2010.8
Filename
5667203
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