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A new trusted opportunistic forwarding model is proposed by choosing the trusted and highest priority candidate forwarder, then a trusted minimum cost routing algorithm (MCOR) is formally formulated, the correctness and effectiveness of this algorithm from theoretical analysis are also approved.
The forwarding abstraction encompasses a flexible, software-controlled, frame forwarding model.
MobileFlow [7] from Huawei was another software-defined future mobile network architecture that enables operators to capitalize on a flow-based forwarding model.
The OpenFlow forwarding model has received some criticisms regarding its generality, i.e. limited framing support.
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In this section, we will derive the properties for the forwarding and waiting random variables based on the mobility and forwarding models described in Section 4.1.
For this reason, we have also included a forwarding mode in our model.
Specifically, we first expound the routing protocol (forwarding strategy), mobility model and assumptions before formulating the problem precisely.
For example, (Chertov and Fahmy 2011) studied the need to model forwarding devices such as switches or routers and the sensitivity of the experimental results to their level of detail in the model.
We model the forwarding scheme and analyze its properties.
First, we consider the sparse distribution case and model the forwarding decision problem as a multiple knapsack problem.
Even for the ideal disk-based transmission model, determining the forwarding distribution analytically for Poisson distributed nodes is unfortunately too complex to be practically tractable.
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