TY - GEN
T1 - On real time data-gathering in sensor networks
AU - Revah, Yoram
AU - Segal, Michael
AU - Yedidsion, Liron
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Wireless sensor networks represent a new generation of real time traffic communications and high data rate sensor applications such as structural health monitoring and control. In this work we study some problems of data gathering in sensor networks. The information that the sensor collect about their environment must be delivered in timely fashion to collecting central processing system. We prove in this research that finding the optimal schedule in order to minimize the maximal delivery time with restrictions on the total idle time allowed in a general network topology with a single designated destination Base Station is NP-hard. We also refer to a special case of Linear Network topology for which we present several optimization algorithms: First we present an algorithm to minimize the number of tardy messages. We then present an algorithm to minimize the maximal lateness. Finally, we present an algorithm to minimize the maximal completion time. All of the scheduling optimization algorithms.
AB - Wireless sensor networks represent a new generation of real time traffic communications and high data rate sensor applications such as structural health monitoring and control. In this work we study some problems of data gathering in sensor networks. The information that the sensor collect about their environment must be delivered in timely fashion to collecting central processing system. We prove in this research that finding the optimal schedule in order to minimize the maximal delivery time with restrictions on the total idle time allowed in a general network topology with a single designated destination Base Station is NP-hard. We also refer to a special case of Linear Network topology for which we present several optimization algorithms: First we present an algorithm to minimize the number of tardy messages. We then present an algorithm to minimize the maximal lateness. Finally, we present an algorithm to minimize the maximal completion time. All of the scheduling optimization algorithms.
UR - https://www.scopus.com/pages/publications/50249165956
U2 - 10.1109/MOBHOC.2007.4428754
DO - 10.1109/MOBHOC.2007.4428754
M3 - Conference contribution
AN - SCOPUS:50249165956
SN - 1424414555
SN - 9781424414550
T3 - 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS
BT - 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS
T2 - 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, MASS
Y2 - 8 October 2007 through 11 October 2007
ER -