A direction perception guided data collection method in an opportunity mobile sensor network

Abstract

The invention discloses a direction perception guided data collection method in an opportunity mobile sensor network. Any two mobile sensors which are s1 and s2 are representatively represented by i and j. Direction included angles of the two mobile sensors are respectively ai and aj. The direction perception guided data collection method comprises the following steps: (1), if i and j directly forward messages to an Sink node in a communication radius scope of a Sink node, and then clean clear a self message buffer memory in order to store new messages in a communication radius scope of the Sink node, data forwarding does not occur between the i and the j; (2), if the i and the j give priority to forwarding the data to the sensors which are in favor of approaching the Sink node outside the communication radius scope of the Sink node; (3) the data finally is forwarded to a backbone network by the Sink node to complete data collection. The direction perception guided data collection method in the opportunity mobile sensor network of the invention can substantially reduce message redundancy. The algorithm is simple and practical. The sensors are low in energy consumption. The network usefulness and the data collection success rate can be improved and a life cycle of the opportunity mobile sensor network can be prolonged.

Description

technical field [0001] The invention relates to the technical field of mobile networks, in particular to a data collection method for direction perception guidance in an opportunistic mobile sensor network. Background technique [0002] Mobile sensing systems are more and more widely used, such as ZebraNet and TurtleNet for monitoring wild animals, urban sensing for collecting urban environmental information by embedding sensing modules in handheld devices, and Cartel for collecting urban traffic conditions by installing sensor nodes on vehicles. Wait. In these applications, sensors are often deployed sparsely, and sensors with limited communication distance change with the movement of objects. It is difficult to form a fully connected wireless network, and only a wireless network with local connectivity, mutual isolation and dynamic topology changes can be formed. The network relies on the communication opportunities brought by node mobility to realize data forwarding. Th...

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved in the present invention is how to reduce message redundancy, reduce algorithm complexity, and improve the data collection success rate and life cycle of the sensor network

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