This paper gives an overview on techniques for quickly finding items that are broadcast on multiple data channels. Previous works assume that throughput increases with the number of data channels because the total available bandwidth increases. This assumption, however, rests on the client's ability read data as soon as it is broadcast on any channel. Without this ability, the benefit of additional channels is compromised as the search space for data also increases. In this paper, we describe the consequences of increasing the number of broadcast channels on search. We then offer candidate search techniques and show their effects on three metrics: search time, tuning time, and hop count.