Wireless Channel State-Aware and Adaptive Epidemic Dissemination in Ad Hoc Networks

Epidemic information dissemination controlled by wireless channel awareness

“…Among possible alternatives that satisfy this demand, it has been shown to be most favorable in similar settings [21]. It can also be related to metrics obtained from simulations.…”

“…P i sr(t) is the calculated probability of successful reception by a neighbor of information disseminated by node i at time t. This probability is given by the expression in (5) as used in [21].…”

Adaptive epidemic dissemination as a finite-horizon optimal stopping problem

“…The lower layers parameters associated with the channel status typically exhibit stochastic behavior. We depart from a plain short-sighted reactive transmission reconfiguration policy [7], as we want to avoid performing hasty changes and paying the cost of transmission in suboptimal conditions. Isolated changes in single layers do not allow for timely and efficient adaptation.…”

“…The utility function chosen for our scheme is given in (3), where: E α (t) is the expected energy cost for the next round (immediate energy cost) if the node assumes the suggested action α; it is normalized over the maximum possible energy cost for a single transmission, obtained for the maximum β and the minimum µ. P sd,a is the probability of successful delivery to neighbor nodes if action α is taken, and is given by (4) reproduced from [7].…”

“…We build on previous research with and without optimal stopping logic [6], [7], with the following key innovations:…”