TY - JOUR
T1 - Sorting on single-channel wireless sensor networks
AU - Bordim, Jacir Luiz
AU - Nakano, Koji
AU - Shen, Hong
PY - 2003
Y1 - 2003
N2 - A Wireless Sensor Network (WSN) is a distributed system consisting of a large number of wireless sensing devices and a base station. Due to their compactness and lowcost, sensor networks can be distributed at a fraction of the cost of conventional wired sensors and actuator systems. The physical world generates an unlimited amount of data that can be observed and monitored. Hence, designing protocols to coordinate WSNs with hundreds, or even thousands, of sensors will face many challenges. In this work we focus on the design of protocols that enable the sensor nodes to coordinate among themselves to achieve a larger task. From this standpoint, we present a sorting protocol for wireless sensor networks. We show that in a WSN consisting of n sensor nodes, where each sensor stores an element and has a fixed transmission range r. sorting can be performed in $O(r \sqrt{n})$ time slots when $r < \sqrt{n}$. We also reason that future applications of wireless sensor networks are very likely to employ shortrange radio communications (i.e., r less than 100 meters). If this is the case, the time complexity of our sorting protocol is optimal.
AB - A Wireless Sensor Network (WSN) is a distributed system consisting of a large number of wireless sensing devices and a base station. Due to their compactness and lowcost, sensor networks can be distributed at a fraction of the cost of conventional wired sensors and actuator systems. The physical world generates an unlimited amount of data that can be observed and monitored. Hence, designing protocols to coordinate WSNs with hundreds, or even thousands, of sensors will face many challenges. In this work we focus on the design of protocols that enable the sensor nodes to coordinate among themselves to achieve a larger task. From this standpoint, we present a sorting protocol for wireless sensor networks. We show that in a WSN consisting of n sensor nodes, where each sensor stores an element and has a fixed transmission range r. sorting can be performed in $O(r \sqrt{n})$ time slots when $r < \sqrt{n}$. We also reason that future applications of wireless sensor networks are very likely to employ shortrange radio communications (i.e., r less than 100 meters). If this is the case, the time complexity of our sorting protocol is optimal.
KW - Wireless sensor networks
KW - bitonic sorting
KW - sensing devices
KW - sorting
UR - https://www.scopus.com/pages/publications/33645959333
U2 - 10.1142/S0129054103001807
DO - 10.1142/S0129054103001807
M3 - Article
AN - SCOPUS:33645959333
SN - 0129-0541
VL - 14
SP - 391
EP - 403
JO - International Journal of Foundations of Computer Science
JF - International Journal of Foundations of Computer Science
IS - 3
ER -