Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks

Predictive Trajectory-Based Mobile Data Gathering Scheme for Wireless Sensor Networks

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Tradition wireless sensor networks (WSNs) transmit data Bosch DIG97IM50B Serie 4 Built In 90cm 3 Speeds B Island Cooker Hood Stainless by single or multiple hops.However, some sensor nodes (SNs) close to a static base station forward data more frequently than others, which results in the problem of energy holes and makes networks fragile.One promising solution is to use a mobile node as a mobile sink (MS), which is especially useful in energy-constrained networks.

In these applications, the tour planning of MS is a key to guarantee the network performance.In this paper, a novel strategy is proposed to reduce the latency of mobile data gathering in a WSN while the routing strategies and tour planning of MS are jointly optimized.First, the issue of network coverage is discussed before the appropriate number of clusters being calculated.

A dynamic clustering scheme is then developed where a virtual cluster center is defined as the MS sojourn for data collection.Afterwards, a tour planning of MS based on prediction is proposed subject to minimizing the traveling distance to collect data.The proposed method is simulated in a MATLAB platform to show the overall performance of the developed system.

Furthermore, the physical tests on a test ONE STEP CLEANSER rig are also carried out where a small WSN based on an unmanned aerial vehicle (UAV) is developed in our laboratory.The test results validate the feasibility and effectiveness of the method proposed.