Dynamic replication control strategy for Opportunistic Networks

Sati, Salem; Ippisch, Andre; Graffi, Kálmán

doi:10.1109/iccnc.2017.7876274

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…Thus, the game becomes repeated interactive acts, which are called replication dynamics. Replication dynamics describes the frequency or frequentness at which a population adopts a particular strategy, which is a dynamic differential equation in mathematical operations [32]. Since both parties are able to modify their decisions through this form, the system ends up with a mutually satisfactory equilibrium status, rather than an optimal state [33].…”

Section: Methodsmentioning

confidence: 99%

Evolutionary Game of the Civil-Military Integration With Financial Support

Yang

Zhang

2020

IEEE Access

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How to provide financial support efficiently is becoming an essential way for military enterprises to take the strategy of Civil-Military Integration (CMI) in China. In this paper, we used the evolutionary game theory to build a model for military enterprises to choose the approach of the CMI with financial support. After derivation and simulation of the model, the results showed that the profit and cost from the CMI or the financial support changes could cause the different evolutionary stable states (ESS). Setting the financial support degree in a relevant range could encourage firms to participate in the CMI and reduce the spillover. Besides, the initial proportion of military enterprises that choose the CMI could affect and predict the trend of future development, which provides a reference for policy-makers.

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Section: Methodsmentioning

confidence: 99%

Evolutionary Game of the Civil-Military Integration With Financial Support

Yang

Zhang

2020

IEEE Access

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“…After some time, all game sides will tend to take a stable strategy. Replication dynamics is a dynamic differential equation that describes the frequency or frequentness at which a population adopts a particular strategy [13]. Its core idea is that adoption of a strategy or payment is higher than the average fitness of the population, and this strategy will be widely recognized in the population.…”

Section: Evolutionary Gamementioning

confidence: 99%

The Cooperative Stability Evolutionary Game Analysis of the Military‐Civilian Collaborative Innovation for China’s Satellite Industry

Fang

Chan

2019

Mathematical Problems in Engineering

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The military-civilian collaborative innovation is an implementation path for most countries to develop strategic emerging industries. The satellite industry is an important area in strategic emerging industries. Based on the evolutionary game theory, we build an evolutionary game model of China's satellite industry military-civilian collaborative innovation with military enterprises and civil enterprises as the main participators under the bounded rationality. Then we analyze the long-term evolution of the system and the factors influencing cooperative stability and perform numerical simulation using Matlab. Our research shows that the cooperative stability of China's satellite industry military-civilian collaborative innovation is positively related to the cooperation revenue, liquidated damages, and government incentives and negatively related to basic income, R&D costs, information communication costs, technology secondary conversion costs, risk costs, and betrayal income. The reasonable income distribution coefficient is conducive to the cooperative stability, and we give a primary standard for government incentives. Finally, corresponding management implications are put forward.

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“…However, such flooding-based and blind replica also causes relatively high energy consumption. To overcome the problems of Epidemic routing, many routing protocols limit the number of replicas, such as [5,8]. Generally, the delivery ratio of flooding-based strategies is relevant high, but the heavy load of nodes may cause serious congestions or energy issues.…”

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confidence: 99%

Energy Efficient Routing Protocol for Mobile Social Sensing Networks

Sati

Sohoud

Abulifa

2019

SCPE

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Mobile Social Sensing Network (MSSN) is a subclass of Wireless Sensor Networks (WSN). This MSSN is consists of mobile sensing transducers carried by people. Sensing information gathered by mobile sensors will transmit to the data sink. This data sink may it is fixed or mobile. But in optimal cases, it should have efficient energy and position compared with other mobile sensors. On the other hand, mobile sensors may have a social tie because they carried by people. Traditional MANET routing protocols such as AODV and DSR are inapplicable or perform poorly for mobile social data sensing. Especially for distributed mobile social sensing. Insufficient performance due to the nature of the mobile sensors which suffering from a limited energy source. In recent days, there are many routing protocols proposed by researchers. These protocols improve the total delivered messagesin mobile social sensing networks, but most of them do not take into account the link bandwidth and node storage limitation, thus routing may lead to more energy consumption among mobile sensing nodes. In this paper, we design an Energy-Efficient Routing Protocol (EERP) for mobile social sensing networks. We consider the node energy as a balance function between the delay of collected data and transmission of sensor nodes to the data sink. Furthermore, we also develop an enhanced version of the suggested EERP which named EERP+S, EERP+S combines the energy percentage and social metric of node degree. EERP and its updated version EERP+S are dynamically adjusting the control function based on data delay and transmission in addition to node activity. Simulation results demonstrate the efficiency of EERP and EERP+S compared with the flooding behavior of an Epidemic. Epidemic and its social version Ep-Soc are compared with suggested protocols in distributed mobile social sensing paradigms.

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Dynamic replication control strategy for Opportunistic Networks

Cited by 5 publications

References 11 publications

Evolutionary Game of the Civil-Military Integration With Financial Support

Evolutionary Game of the Civil-Military Integration With Financial Support

The Cooperative Stability Evolutionary Game Analysis of the Military‐Civilian Collaborative Innovation for China’s Satellite Industry

Energy Efficient Routing Protocol for Mobile Social Sensing Networks

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