Abstract
Industrial wireless sensor networks (IWSNs) have been widely used in many application scenarios, and data collection is an extremely significant part of IWSNs. Moreover, a mobile sink is widely used in industrial wireless sensor networks to collect sensory data and alleviate the “hot spot” problem effectively. However, usage of a mobile sink introduces some challenges, such as updating of a mobile sink’s location and planning of a mobile sink’s trajectory. Meanwhile, the impact of different distribution types of events on data collection has not been sufficiently valued in designing of data collection algorithm for IWSNs yet. To overcome these challenges, a virtual grid-based real-time data collection algorithm for applications with centrally distributed events (VGDCA-C) is proposed in this paper to gain a reliable data gathering for IWSNs. In the target application scenarios, the events are distributed centrally, so we mainly focus on how to shorten the routing paths and decrease the transmission delay. In our VGDCA-C, a mobile sink can adjust its movement dynamically according to the changes in event areas. The adjustment of a mobile sink movement strategy includes two aspects. The first one is the dynamic adjustment of a mobile sink’s parking time, and the second one denotes the moving toward event area of a mobile sink. Thus, a mobile sink adjusts its location such that it can get closer to the event area. Hence, the total length of routing is getting shorter so that source nodes can upload sensory data faster. Analysis and simulation results show that compared with the existing work, our VGDCA-C increases the network lifetime and decreases transmission delay.
Highlights
With the development of industrial wireless communication technologies, microelectronics, sensors, distributed information processing, and embedded computers, the industrial wireless sensor networks (IWSNs) have been widely used in many application scenarios such as poisonous gas boundary detection [1, 2], pollution monitoring [3,4,5], and production monitoring [6, 7]
4.1 Simulation model To evaluate the performance of our proposed algorithm, we designed the simulation experiment using the MATLAB platform
The virtual grid structure can divide the network into several virtual square areas with the same size, where virtual grids of different areas have different Row column number (RCN) and direction number (DN)
Summary
With the development of industrial wireless communication technologies, microelectronics, sensors, distributed information processing, and embedded computers, the industrial wireless sensor networks (IWSNs) have been widely used in many application scenarios such as poisonous gas boundary detection [1, 2], pollution monitoring [3,4,5], and production monitoring [6, 7]. A mobile sink can balance the energy consumption and prolong the lifetime of the network. The use of a mobile sink introduces two new challenges in the data collection of IWSNs. The first one is the way the mobile sink’s latest location is updated. The traditional way of this updating is that a mobile sink broadcasts the updated information on its location to the entire network. It is challenging to find a suitable way to update the information of mobile sink with lower overheads. Another challenge is the way the trajectory of a mobile sink is planned [28]. The trajectory of a mobile sink affects the balance of energy consumption and transmission delay greatly
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