Abstract
Sequential information accumulation (SIA) is a technique that makes energy conservation possible for distributed estimation in wireless sensor networks. How to reduce energy consumption and how to improve estimation performance are the main topics for distributed estimation in wireless sensor networks. By separating sensor nodes into two groups, one is more reliable than the other, we modify SIA scheme into SIA with group separation (SIA-GS) scheme. Then, by introducing the weighting vector to the SIA-GS scheme, we can achieve both targets, energy saving and performance improvement. Thus, we propose two schemes, SIA-GS for performance improvement (SIA-GS-PI) scheme and SIA-GS for energy saving (SIA-GS-ES) scheme, just by adjusting the weighting factors.