Relative Proximity Estimation in a Confined Small-Scale Environment

Abstract — Recent advances in genomic research and biotechnology have led to an increased level of technological sophistication in today’s biology laboratories. With the promising current advances in pervasive computing, we can expect ubiquitous smart services to be deployed in smart bio-laboratories of the future to simplify the increasingly complex experiments that are now becoming routine. In this paper, we investigate the provision of location aware computing through K-Nearest Neighbor (K-NN) relative proximity estimation. Our results show that K-NN can provide low-cost and reliable relative proximity estimation services, even in a challenging small-scale confined environment such as a smart bio-laboratory operating in the common IEEE 802.11b based wireless network environment. I