Paper Info
Title
Adaptive Energy-Efficient Data Acquisition Algorithm in Wireless Sensor and Actuator Network.
Abstract
Funnel effect will cause the network energy cavity and the imbalance of node load in wireless sensor and actuator network. To improve this situation, an adaptive data acquisition algorithm of mobile nodes is presented in this paper. Firstly, dynamically changing residing position of the collection node is one effective way to balance the energy in the network. Here, we use Artificial Bee Colony (ABC) algorithm to find the best residing positions of collection nodes according to the energy consumption. The mobile collection nodes will then move to their corresponding best positions dynamically with assigned directions. Then, an adaptive transmission strategy based on SINK proxy mechanism and dynamic data acquisition rate is studied to balance the load during the collection nodes moving. Experiments show that the proposed algorithm can improve the situation of energy cavity for data acquisition in WSAN. Transmission reliability and network resource utilization at the MAC layer are also improved.
Year
DOI
Venue
2016
10.1007/978-981-10-2663-8_61
Communications in Computer and Information Science
Keywords
Field
DocType
Wireless sensor and actor network,Energy cavity,Mobile node,Collection rate
Key distribution in wireless sensor networks,Efficient energy use,Data acquisition,Brooks–Iyengar algorithm,Algorithm,Engineering,Wi-Fi array,Mobile wireless sensor network,Wireless sensor network,Energy consumption
Conference
Volume
ISSN
Citations 
643
1865-0929
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yan Wang15412.95
Yun Gao200.34
Zhicheng Ji3347.59