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Sensors 2012, 12(8), 10163-10195;

A Search Strategy of Level-Based Flooding for the Internet of Things

School of Software, Dalian University of Technology, Dalian 116620, China
Author to whom correspondence should be addressed.
Received: 18 May 2012 / Revised: 18 July 2012 / Accepted: 20 July 2012 / Published: 27 July 2012
(This article belongs to the Special Issue Ubiquitous Sensing)
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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. View Full-Text
Keywords: Internet of Things; query processing; flooding; search; energy efficiency Internet of Things; query processing; flooding; search; energy efficiency

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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