TY - GEN
T1 - Delay efficient data gathering in sensor networks
AU - Zhu, Xianjin
AU - Tang, Bin
AU - Gupta, Himanshu
PY - 2005
Y1 - 2005
N2 - Data gathering is a very important functionality in sensor networks. Most of current data gathering researches have been emphasized on issues such as energy efficiency and network lifetime maximization; and the technique of data aggregation is usually used to reduce the number of radio transmissions. However, there are many emerging sensor network applications with different requirements and constraints. Rather, they are time critical, i.e., delivering sensed information of each individual sensor node back to a central base station quickly becomes most important. In this paper, we consider collision-free delay efficient data gathering problem in sensor networks, assuming that no data aggregation happens in intermediate nodes. We formally formulate this problem and propose optimal and near-optimal algorithms for different topologies. Particularly, in general topology, we present two approximation algorithms with performance ratio of 2 and 1+1/(k+1), respectively.
AB - Data gathering is a very important functionality in sensor networks. Most of current data gathering researches have been emphasized on issues such as energy efficiency and network lifetime maximization; and the technique of data aggregation is usually used to reduce the number of radio transmissions. However, there are many emerging sensor network applications with different requirements and constraints. Rather, they are time critical, i.e., delivering sensed information of each individual sensor node back to a central base station quickly becomes most important. In this paper, we consider collision-free delay efficient data gathering problem in sensor networks, assuming that no data aggregation happens in intermediate nodes. We formally formulate this problem and propose optimal and near-optimal algorithms for different topologies. Particularly, in general topology, we present two approximation algorithms with performance ratio of 2 and 1+1/(k+1), respectively.
UR - https://www.scopus.com/pages/publications/33646848388
U2 - 10.1007/11599463_38
DO - 10.1007/11599463_38
M3 - Conference contribution
AN - SCOPUS:33646848388
SN - 3540308563
SN - 9783540308560
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 380
EP - 389
BT - Mobile Ad-hoc and Sensor Networks - First International Conference, MSN 2005, Proceedings
PB - Springer Verlag
T2 - 1st International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2005
Y2 - 13 December 2005 through 15 December 2005
ER -