Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Interactions beten mobile users are the building blocks of a variety of emerging communication paradigms, among which opportunistic networking is one of the most promising. In opportunistic networks, the information propagates through pair-wise contacts beten users, and hence the inter-contact time, i.e., the time beten two consecutive interactions beten a pair of users, plays a key role in the latency of information propagation. Given that new message availability and actual communication are typically asynchronous, analytical models often rely on the concept of residual inter-contact time, i.e, the time left before the next communication opportunity, starting from a random point in time. The statistical properties of the inter-contact times determine those of the associated residual inter-contact time. Of particular interest is the case of inter-contact times featuring a Pareto distribution, due to the great attention this case has received in the literature. In this letter  discuss how to compute the residual inter-contact time when the inter-contact process beten a pair of nodes features a Pareto distribution and  show that our exact solution can significantly improve the results commonly used in the literature.
['Chiara Boldrini', 'Marco Conti', 'Andrea Passarella']
I am writing a research paper on a idea From Pareto Inter-Contact Times to Residuals
[{"from": "human", "value": "I am writing a research paper on a idea From Pareto Inter-Contact Times to Residuals"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Interactions beten mobile users are the building blocks of a variety of emerging communication paradigms, among which opportunistic networking is one of the most promising. In opportunistic networks, the information propagates through pair-wise contacts beten users, and hence the inter-contact time, i.e., the time beten two consecutive interactions beten a pair of users, plays a key role in the latency of information propagation. Given that new message availability and actual communication are typically asynchronous, analytical models often rely on the concept of residual inter-contact time, i.e, the time left before the next communication opportunity, starting from a random point in time. The statistical properties of the inter-contact times determine those of the associated residual inter-contact time. Of particular interest is the case of inter-contact times featuring a Pareto distribution, due to the great attention this case has received in the literature. In this letter  discuss how to compute the residual inter-contact time when the inter-contact process beten a pair of nodes features a Pareto distribution and  show that our exact solution can significantly improve the results commonly used in the literature."}]