Abstract
In order to reduce the identification delay and the energy consumption of the Query Tree Anti-collision Algorithm, the disadvantage of the current query tree anti-collision algorithms is analyzed and an improved query tree anti-collision algorithm is proposed, which is called collision Location based Hybrid Query Tree (LHQT) algorithm. In the algorithm, Manchester code is used and collision location is detected when a collision occurs. Then collision location is used to update quickly and accurately the query prefix in Query Tree (QT) algorithm and Hybrid Query Tree (HQT) Algorithm. Theoretical analysis and simulation show that the proposed algorithm can efficiently decrease the identification cycles and transmitted bits, which reduce the identification delay and the energy consumption.
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