TY - JOUR

T1 - A random graph-based model to analyze packet interference between frequency hopping systems with an application to Bluetooth

AU - Naik, Kshirasagar

AU - Wei, David S L

AU - Su, Yu-Ted

AU - Shiratori, N.

PY - 2008/9/5

Y1 - 2008/9/5

N2 - In this paper, we present a graph-based model for analyzing interference between two frequency hopping systems for wireless communication. Informally, frequency hopping means that successive packets are transmitted on different frequencies from a pseudo-random sequence. The frequency band occupied by a packet may be narrow or wide. Our model is based on the concept of probabilistic graphs, where a node represents a "channel" and an edge denotes the probability of interference between two packets belonging to two different channels. Two packets on two channels are said to be mutually interfering if the two packets overlap in time and are transmitted on the same frequency. Thus, from the viewpoint of probabilistic graphs, the expected number of nodes with at least one incident edge is a measure of packet interference in a collection of wireless channels. We apply this model of packet interference to a heterogeneous cluster of Bluetooth piconets, where a piconet could be either of 79-hop type or of 23-hop type. Though the 23-hop type has been phased out, we use it as an example in this paper.

AB - In this paper, we present a graph-based model for analyzing interference between two frequency hopping systems for wireless communication. Informally, frequency hopping means that successive packets are transmitted on different frequencies from a pseudo-random sequence. The frequency band occupied by a packet may be narrow or wide. Our model is based on the concept of probabilistic graphs, where a node represents a "channel" and an edge denotes the probability of interference between two packets belonging to two different channels. Two packets on two channels are said to be mutually interfering if the two packets overlap in time and are transmitted on the same frequency. Thus, from the viewpoint of probabilistic graphs, the expected number of nodes with at least one incident edge is a measure of packet interference in a collection of wireless channels. We apply this model of packet interference to a heterogeneous cluster of Bluetooth piconets, where a piconet could be either of 79-hop type or of 23-hop type. Though the 23-hop type has been phased out, we use it as an example in this paper.

KW - Bluetooth technology

KW - Frequency hopping systems

KW - Packet interference

KW - Probabilistic graphs

UR - http://www.scopus.com/inward/record.url?scp=49649123018&partnerID=8YFLogxK

U2 - 10.1016/j.comcom.2008.05.013

DO - 10.1016/j.comcom.2008.05.013

M3 - Article

AN - SCOPUS:49649123018

VL - 31

SP - 3286

EP - 3291

JO - Computer Communications

JF - Computer Communications

SN - 0140-3664

IS - 14

ER -