Design of low power multiplier with reduced spurious transition activity technique for wireless sensor network

This paper explores the implementation approaches of a low power modified booth multiplier (MBM) with reduced spurious transition activity technique (RSTAT) for DSP functions that encounter a wide diversity of operating scenarios in battery powered wireless sensor network system. This RSTAT approach has been applied on both the compression tree of multipliers and the modified booth encoder to enlarge the power clampdown, for high speed and low power purposes. To filter out the spurious switching power of the multiplier, there are two approaches, one is using registers and using AND gates, to assert the data signals of the multipliers after the data transition has been proposed. The RSTAT approach leads to a 40% power consumption reduction and speed improvement when compared with the other power minimization technique.