A Model for Epidemical DTN Considering Effects of Path Loss and Interference

Maranhão, João Paulo A.; Rolla, Vitor; Curado, Marília; Salles, Ronaldo Moreira

doi:10.1109/lcomm.2014.2367125

Cited by 5 publications

(2 citation statements)

References 9 publications

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“…The SI (Susceptible and Infection) model [23,24] in the infectious disease network is used to model the propagation of packet in DTN in which S(t) is defined as the number of the relay nodes not carrying packet in the network at time t, I(t) is the number of the relay nodes carrying messages in the network at time t, and D(t) is the number of the destinations carrying messages in the network at time t. Therefore, we have I(0)=1, D(0)=0, S(0)=N-1 at the initial moment. We define c as c=M/(N+M) which represents the probability that the packet arrives at the destination nodes.…”

Section: System Modelmentioning

confidence: 99%

Patient Routing in the Delay Tolerant Networks

Ren

OUYANG

Liu

2022

Preprint

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Delay Tolerant Networks (DTNs) are unstable networks, where contemporaneous end to end paths don’t exist. This leads to the problem of how to route a packet from one node to another in such a network, involving whether to send a packet, when to send it and the energy consume control. The existing literature mainly focuses on the energy consumption of packet routing to a single destination node, seldom considering the influence of optimal choice about transmitting rate on network performance. The paper addresses this problem by modeling the packet delivery process of DTNs with multiple destinations adopting ordinary differential equations (ODEs). Furthermore, the tradeoff between delivery performance and energy consumption during packet delivery are mathematically characterized, proving that the maximization of tradeoff is a submodular function and an NP-hard problem. Then, an optimal control method called ‘patient routing’ is proposed to decide whether to send a packet and when the best time is through transmission probability and transmitting rate judgments. Before that time, the node will wait patiently. Our simulations reveal that the proposed routing can significantly reduce nodes energy consumption and achieve higher tradeoff over the other three routings.

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Section: System Modelmentioning

confidence: 99%

Patient Routing in the Delay Tolerant Networks

Ren

OUYANG

Liu

2022

Preprint

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“…During the recent years, statistical properties of mobile-to-mobile channels have been investigated by many researchers concentrating on small -scale characteristic of the mobile-to-mobile radio channels [6][7]. These parameters of the derived model should be determined by carrying out measurements in the area where the mobileto-mobile system will be operated.…”

Section: Introductionmentioning

confidence: 99%

A Way of Candidate Set Selection for Epidemic Routing in Delay Tolerate Networks

Zhang

Chen²,

Joe

et al. 2016

IJFGCN

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The radio propagation effect of fading or shadowing between mobile nodes has not been well considered in contact rate. One way to incorporate interference into contact rate is multiplied by probability that the infected node copies the message to the susceptible node during a contact in epidemic routing. In this paper, we develop a model to incorporate the wireless link reliability into contact rate. For application, we proposed a scheme for epidemical delay tolerate network with considering the effects based on the model. Simulation shows that proposed scheme has better performance.

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