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Contention resolution addresses the problem of coordinating access to ashared channel. Time proceeds in slots, and a packet transmission can be madein any slot. A packet is successfully sent if no other packet is alsotransmitted during that slot. If two or more packets are sent in the same slot,then none of these transmissions succeed. Listening during a slot gives ternaryfeedback, indicating if that slot had (0) silence, (1) a successfultransmission, or (2+) noise. No other feedback is available. Packets are(adversarially) injected into the system over time. A packet departs the systemonce it is successful. The goal is to send all packets while optimizingthroughput, which is roughly the fraction of successful slots.  Most prior algorithms with constant throughput require a short feedback loop,in the sense that a packet's sending probability in slot t+1 is fullydetermined by its internal state at slot t and the channel feedback at slot t.An open question is whether these short feedback loops are necessary; that is,how often must listening and updating occur in order to achieve constantthroughput? This question addresses energy efficiency, since both listening andsending consume significant energy. The channel can also suffer adversarialnoise ("jamming"), which causes any listener to hear noise, even when nopackets are sent. How does jamming affect our goal of long feedbackloops/energy efficiency?  Connecting these questions, we ask: what does a contention-resolutionalgorithm have to sacrifice to reduce channel accesses? Must we give up onconstant throughput or robustness to noise? Here, we show that we need notconcede anything. Suppose there are N packets and J jammed slots, where theinput is determined by an adaptive adversary. We give an algorithm that, withhigh probability in N+J, has constant throughput and polylog(N+J) channelaccesses per packet.

Fully Energy-Efficient Randomized Backoff: Slow Feedback Loops Yield Fast Contention Resolution