Due to the increased capabilities of mobile devices and through wireless opportunistic contacts, users can experience new ways to share and retrieve content anywhere and anytime, even in the presence of link intermittency. Due to the significant number of available routing solutions, it is difficult to understand which one has the best performance, since all of them follow a different evaluation method. This paper proposes an assessment model, based on a new taxonomy, which comprises an evaluation guideline with performance metrics and experimental setup to aid designers in evaluating solutions through fair comparisons. Simulation results based on the proposed model revisit the performance results published by Epidemic, PROPHET, and BubbleRap, showing how they perform under the same set of metrics and scenario.
The most recent classification proposed by (2010) @cite_11 groups opportunistic routing proposals according to the message exchange scheme they employ: forwarding, replication, and coding. Authors also identify different types of utility functions that can be applied to such schemes. Additionally, Disruption Tolerant Networks (DTN) are classified based on characteristics that have major impact on routing such as connectivity and mobility. Authors succeed in mapping routing solutions to the different DTN types, which allows them to evaluate proposals accordingly.
@cite_11
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Opportunistic networks (ONs) are a newly emerging type of delay tolerant network ( DTN) systems that opportunistically exploit unplanned contacts among nodes to share information. As with all DTN environments ONs experience frequent and large delays, and an end-to-end path from the source to destination may only exist for a brief and unpredictable period of time. Such network conditions present unique challenges to message routing. In this paper, we present the design and performance analysis of a novel core-based routing protocol for ON routing. Under the assumption that messages will have a delivery time constraint, we then provide a set of analytical results for rapid modeling and performance evaluation for the basic performance metrics of message delay, message delivery ratio, and buffer occupancy. We have implemented our protocol in ns-2, and our simulation results show that our protocol is quite effective and our analysis is accurate.