BUGS ON A BUDGET DISTRIBUTED SENSING WITH COST FOR REPORTING AND NONREPORTING

We consider a simple model of sequential decisions made by a fusion agent that receives binary-passive reports from distributed sensors. The main result is an explicit formula for the probability of making a decision before a fixed budget is exhausted. These results depend on the relationship between a special ruin problem for a “lazy random walk” and a traditional biased walk.