Energy-driven distribution of signal processing applications across wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Processing continuous top-k data collection queries in lifetime-constrained wireless sensor networks
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
A tag-based solution for data sensing conflicts in multiple sensing agent systems
Advances in Engineering Software
MAX–MIN aggregation in wireless sensor networks: mechanism and modeling
Wireless Communications & Mobile Computing
An accurate on-demand time synchronization protocol for wireless sensor networks
Journal of Parallel and Distributed Computing
WSN in cyber physical systems: Enhanced energy management routing approach using software agents
Future Generation Computer Systems
| Hi-index | 0.00 |
Communication is a primary source of energy consumption in wireless sensor networks. Due to resource constraints, the sensor nodes may not have enough energy to report every reading to the base station over a required network lifetime. This paper investigates data collection strategies in lifetime-constrained wireless sensor networks. Our objective is to maximize the accuracy of data collected by the base station over the network lifetime. Instead of sending sensor readings periodically, we propose to consider their relative importance. The key idea is to let the sensor nodes send data updates to the base station when the new readings differ more substantially from the previous ones. We analyze the optimal update strategy and develop adaptive update strategies for both individual and aggregate data collections. We also present two methods to cope with message losses in wireless transmission. Experimental results using real data traces show that, compared with periodic data collection, adaptive data collection significantly improves the accuracy of data collected by the base station.