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In this paper we investigate efficient strategies for supporting on-demand information dissemination and gathering in large-scale wireless sensor networks. In particular, we propose a "comb-needle" discovery support model resembling an ancient method: use a comb to help find a needle in sands or a haystack. The model combines push and pull for information dissemination and gathering. The push component features data duplication in a linear neighborhood of each node. The pull component featuresdoi:10.1145/1031495.1031510 dblp:conf/sensys/LiuHZ04 fatcat:7e4m7c3vq5gsxbkvb67r6m5osi