Bet365 Online Live Dealer title:A Knowledge-based Multiplayer Collaborative Routing in Opportunistic Bet365 Online Live Dealer
Bet365 Online Live Dealer time:2019Year9month4Sunday (Wednesday) afternoon14：00——15：30
Bet365 Online Live Dealer location: Railway Campus Comprehensive Laboratory Building308Conference Room
Bet365 Online Live Dealer Announcement Person: Chen Huan
Abstract:Wireless opportunistic Bet365 Online Live Dealer are self-organizing Bet365 Online Live Dealer which communication devices suffer from intermittent connectivity or disconnections. Users in such Bet365 Online Live Dealer carry the messages while they are moving, and forward them when encounter with other ones. The existing two types of routings in opportunistic Bet365 Online Live Dealer have their own shortcomings. The forwarding-based approach can reduce cost but cannot guarantee the latency and delivery probability. The flflooding-based approach have higher efficiency but consume a large amount of resource.Therefore, how to make a tradeoff between the two schemes is a challenge issue. So in this paper, we propose a new routing named Knowledge-based Multiplayer Collaborative (KBMC) Routing. In KBMC, we take some useful knowledge into consideration, such as energy consumption, delivery probability, node velocity, message carrying time. Then using the Nash bargaining game theory to construct a proper utility function in order to decide which message can be delivered to which node. That can avoid random and blindfold forwarding, save the network resources. We determine the number of copies of the message by computing activity function based on the knowledge to limit flflooding. Through extensive simulations, we demonstrate that our proposed KBMC performs better compared to some classical protocols in terms of overhead, average latency, delivery probability and average hops.
