There is much effort which aimed at the data collection scheduling algorithm development to minimize the latency in wireless sensor networks (WSNs). Most of previous works investigating the minimum latency of data collection issue have an ideal assumption that the network is a centralized system, in which the entire network is completely synchronized with full knowledge of components. In addition, most of existing works often assume that any data in the network are allowed to be aggregated into one packet and the network models are often treated as tree structures. However, in practical, WSNs are more likely to be distributed systems, since each sensor's knowledge is disjointed to each other, and a fixed number of data are allowed to be aggregated into one packet. In this paper, we investigate the problem of minimum latency for the data aggregation without data collision in the distributed WSNs when the sensors are considered to be assigned the channels, termed the minimum-latency collision-avoidance multiple-data-aggregation scheduling with multi-channel (MLCAMDAS-MC) problem. A new distributed algorithm, termed the distributed collision-avoidance scheduling (DCAS) algorithm, is proposed to address the MLCAMDAS-MC. Finally, we conduct extensive simulations to demonstrate the performance of DCAS.
|Original language||English (US)|
|Title of host publication||2018 IEEE International Conference on Communications, ICC 2018 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - Jul 27 2018|
|Event||2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States|
Duration: May 20 2018 → May 24 2018
|Name||IEEE International Conference on Communications|
|Other||2018 IEEE International Conference on Communications, ICC 2018|
|Period||5/20/18 → 5/24/18|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT The research was supported by the Ministry of Science and Technology through grant MOST 106-2221-E-151-001.
© 2018 IEEE.
- Algorithm design and analysis
- Collision free
- Data aggregation
- Distributed algorithm
- Wireless sensor networs (WSNs)