Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information dissemination in a large network is typically achieved when each user shares its own information or resources with each other user. Consider n users randomly located over a fixed region, and k of them wish to flood their individual messages among all other users, where each user only has knowledge of its own contents and state information. The goal is to disseminate all messages using a low-overhead strategy that is one-sided and distributed while achieving an order-optimal spreading rate over a random geometric graph. ,  investigate the random-push gossip-based algorithm where message selection is based on the sender's own state in a random fashion. It is first shown that random-push is inefficient in static random geometric graphs. Specifically, it is Ω(√n) times slor than optimal spreading. This gap can be closed if each user is mobile, and at each time moves “locally” using a random walk with velocity v(n).  propose an efficient dissemination strategy that alternates beten individual message flooding and random gossiping.  show that this scheme achieves the optimal spreading rate as long as the velocity satisfies v(n) = ω(√log n/k). The key insight is that the mixing introduced by this velocity-limited mobility approximately uniformizes the locations of all copies of each message within the optimal spreading time, which emulates a balanced geometry-free evolution over a complete graph.
['Yuxin Chen', 'Sanjay Shakkottai', 'Jeffrey G. Andrews']
I am writing a research paper on a idea Sharing multiple messages over mobile networks
[{"from": "human", "value": "I am writing a research paper on a idea Sharing multiple messages over mobile networks"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Information dissemination in a large network is typically achieved when each user shares its own information or resources with each other user. Consider n users randomly located over a fixed region, and k of them wish to flood their individual messages among all other users, where each user only has knowledge of its own contents and state information. The goal is to disseminate all messages using a low-overhead strategy that is one-sided and distributed while achieving an order-optimal spreading rate over a random geometric graph. ,  investigate the random-push gossip-based algorithm where message selection is based on the sender's own state in a random fashion. It is first shown that random-push is inefficient in static random geometric graphs. Specifically, it is \u2126(\u221an) times slor than optimal spreading. This gap can be closed if each user is mobile, and at each time moves \u201clocally\u201d using a random walk with velocity v(n).  propose an efficient dissemination strategy that alternates beten individual message flooding and random gossiping.  show that this scheme achieves the optimal spreading rate as long as the velocity satisfies v(n) = \u03c9(\u221alog n/k). The key insight is that the mixing introduced by this velocity-limited mobility approximately uniformizes the locations of all copies of each message within the optimal spreading time, which emulates a balanced geometry-free evolution over a complete graph."}]