Abstract
In wireless sensor networks (WSNs), detection and report of continuous object, such as forest fire and toxic gas leakage, is one of the major applications. In large-scale continuous object tracking in WSNs, there might be many source nodes simultaneously, detecting the continuous object. Each nodes reports its data to both a base station and mobile workers in the industry field. For communication between the source nodes and a mobile worker, sink location service is needed to continuously notify the location of the mobile worker. But, as the application has a large number of sources, it causes a waste of energy consumption. To address this issue, in this paper, we propose a two-phase sink location service scheme. In the first phase, the proposed scheme constructs a virtual grid structure for merging the source nodes. Then, the proposed scheme aggregates the merging points from an originated merging point as the second phase. Simulation results show that the proposed scheme is superior to other schemes in terms of energy consumption.
Highlights
The amount of damages from either disasters or accidents is influenced by the level of the prevention and countermeasures system
We propose a novel continuous object tracking scheme, Origin-based Continuous
Origin-based Continuous Object Tracking scheme (OCOT) integrates location updates from a mobile sink using regional locality of sources detecting a continuous object
Summary
The amount of damages from either disasters or accidents is influenced by the level of the prevention and countermeasures system. The main problem in existing sink mobility support studies is the individual location updates to the sources detecting a continuous object. The OCOT provides integration of the location updates by using origin-based structure thereby reducing the overhead for supporting sink mobility.The main contributions of our work are as follows: We intensively investigated the energy efficiency in continuous object tracking with mobile sink by analyzing the location update and data report to prevent hot spot problem and to prolonging network lifetime.
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