COBRA: A framework for the analysis of realistic mobility models

An Trust Model Based on Grey Relational Analysis and Cooperative Computing in Opportunity Networks

“…That paper is not a good combination of direct trust and recommendation trust, ignored the role of direct trust in the opportunistic network. [5] proposed a mobility models based on multi-dimensional evaluation of human movement, analyzing the impact factors of human movement regulation on opportunistic network. It provided a new method modeling multi-dimensional property, but did not take into account the selfish and malicious nodes, and ignored the collaborative computing in nodes, it s insufficient.…”

“…GRATM aims at the following three aspects generated by selfish and malicious nodes. 1) Transmission rate: The ratio of the total number of data packets successfully reaches its destination node and the total number of packets issued by the source node transmission within a certain time [5].…”

“…Opportunistic networks are characterised by scarcity resources in terms of communication, The memory usage and computational complexity requirements [5]. The size of data is very small because the direct trust of GRATM provides just three parameters of Contact intimacy value, Delivery reliability value and Location intimacy value and the length of reference sequence in direct trust vaule is just three.…”

The impact of node velocity diversity on mobile opportunistic network performance

“…So far, various mobility models have been proposed in MONs in the last few years, and mainly include two types. One is the moving trajectory model (Kim et al, 2009;Thakur and Helmy, 2013;Aschenbruck et al, 2011), which saves the realistic trace data of mobile nodes into files firstly, and then lets nodes move in the simulation experiment scenarios according to the previous trajectory. The other one is the synthetic mobility model (Shukla et al, 2014) in which the next location is determined according to the current and certain rules.…”

Analyzing and modeling mobility for infrastructure-less communication

“…And they used the proposed framework to show the inability of some waypoint-based mobility regimes to maintain original spatial node density distributions. The most important feature of the model introduced in (Thakur and Helmy, 2013) is capturing the collective behavior based on realistic aspects of human mobility. The systematic approach achieves a very close match in all the protocol performance metrics, thus closing the significant gap in mobility and protocol evaluation.…”