Abstract
In intermittently connected mobile ad hoc networks, how to guarantee the packet delivery ratio and reduce the transmission delay has become the new challenge for the researchers. Epidemic theory based routing had shown the better performance in the aspect of improving transmission successful rate and reducing the delay, which under the situation that there is no limitation of the node buffer and network bandwidth. In general, epidemic routing adopts the 2-hop or multi-hop forwarding mode to forward the relay packet. However, these two modes have the obvious disadvantage. In this article, we introduce a novel H + 1 hop forwarding mode that is based on the epidemic theory. First, we utilize the susceptible infected recovered model of epidemic theory to estimate the amount of relay node (epidemic equilibrium) and the delivery delay within the epidemic process. Second, we formulate the amount number of relay nodes into a single absorbing Markov chain model. Based on the Markov chain, we estimate the expected delay for the packet transmission. Simulation results show that compared with the basic epidemic and Spray and Wait protocols, the H + 1 hop forwarding mode has the better performance on the delivery delay and amount of copies.
Highlights
Thanks to the increasing number of mobile devices with wireless capabilities [1,2,3,4,5], the possibility of communication without network infrastructure is becoming a reality
We introduce a novel forwarding algorithm based on the epidemic
Our study combines the advantage of 2-hop and multi-hop forwarding which are based on the basic epidemic theroy
Summary
Thanks to the increasing number of mobile devices with wireless capabilities [1,2,3,4,5], the possibility of communication without network infrastructure is becoming a reality. Delivery delay and the number of duplicate copies of the packet are the two most important performance measurements for intermittently connected mobile ad hoc networks forwarding scheme. To the best of authors’ knowledge, this is the first article of introducing the SIR model of epidemic spreading to control the forwarding process and analyze the performance in intermittently connected mobile ad hoc networks.
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