DAT: A Data Adaptive Transmission Mechanism for Clustering-Based Wireless Sensor Networks

Author(s):  
Yan Shen ◽  
Zi-wei Zeng
2013 ◽  
Vol 655-657 ◽  
pp. 1757-1760
Author(s):  
Seong Cheol Kim

In this paper we propose a data transmission mechanism that supports fairness and Quality of Service (QoS) in a wireless sensor networks (WSNs). In this mechanism the received or measured data traffics will be assigned a priority level according to its transmission urgency. And the load prediction algorithm is used to support the fairness between different priority traffics. For this, the buffer length values of the nodes are continuously monitored for some period. Based on the buffer length variations for this period, the order of transmission is determined. FQSM also adapts cross-layer concept to rearrange the data transmission order in each sensor node's buffer, saves energy consumption by allowing few nodes in data transmission, and prolongs the network lifetime


2012 ◽  
Vol 8 (1) ◽  
pp. 812013 ◽  
Author(s):  
Jie Jia ◽  
Jian Chen ◽  
Xingwei Wang ◽  
Linliang Zhao

Density control is of great relevance for wireless sensor networks monitoring hazardous applications where sensors are deployed with high density. Due to the multihop relay communication and many-to-one traffic characters in wireless sensor networks, the nodes closer to the sink tend to die faster, causing a bottleneck for improving the network lifetime. In this paper, the theoretical aspects of the network load and the node density are investigated systematically. And then, the accessibility condition to satisfy that all the working sensors exhaust their energy with the same ratio is proved. By introducing the concept of the equivalent sensing radius, a novel algorithm for density control to achieve balanced energy consumption per node is thus proposed. Different from other methods in the literature, a new pixel-based transmission mechanism is adopted, to reduce the duplication of the same messages. Combined with the accessibility condition, nodes on different energy layers are activated with a nonuniform distribution, so as to balance the energy depletion and enhance the survival of the network effectively. Extensive simulation results are presented to demonstrate the effectiveness of our algorithm.


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