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A Search Strategy of Level-Based Flooding for the Internet of Things
School of Software, Dalian University of Technology, Dalian 116620, China
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Received: 18 May 2012; in revised form: 18 July 2012 / Accepted: 20 July 2012 / Published: 27 July 2012
Abstract: This paper deals with the query problem in the Internet of Things (IoT). Flooding is an important query strategy. However, original flooding is prone to cause heavy network loads. To address this problem, we propose a variant of flooding, called Level-Based Flooding (LBF). With LBF, the whole network is divided into several levels according to the distances (i.e., hops) between the sensor nodes and the sink node. The sink node knows the level information of each node. Query packets are broadcast in the network according to the levels of nodes. Upon receiving a query packet, sensor nodes decide how to process it according to the percentage of neighbors that have processed it. When the target node receives the query packet, it sends its data back to the sink node via random walk. We show by extensive simulations that the performance of LBF in terms of cost and latency is much better than that of original flooding, and LBF can be used in IoT of different scales.
Keywords: Internet of Things; query processing; flooding; search; energy efficiency
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MDPI and ACS Style
Qiu, T.; Ding, Y.; Xia, F.; Ma, H. A Search Strategy of Level-Based Flooding for the Internet of Things. Sensors 2012, 12, 10163-10195.
Qiu T, Ding Y, Xia F, Ma H. A Search Strategy of Level-Based Flooding for the Internet of Things. Sensors. 2012; 12(8):10163-10195.
Qiu, Tie; Ding, Yanhong; Xia, Feng; Ma, Honglian. 2012. "A Search Strategy of Level-Based Flooding for the Internet of Things." Sensors 12, no. 8: 10163-10195.