Abstract
The coverage of traditional Wireless Sensor Networks (WSNs) is limited by node energy and data redundancy, which forces WSNs to be interrupted abnormally. Therefore, Cooperative-optimization Coverage Algorithm based on Sensor Cloud Systems in Intelligent Computing (CoC-SCS) is proposed. First, the algorithm determines the location information of the Focus Target Nodes (FTNs), and uses the Genetic Algorithm (GA) to give the node path planning. Second, the mutation parameters and the controllable threshold parameters are used in order to control the event domain nodes. Optimizing clustering makes the clustering of the nodes to be more uniform, so that it can improve the search ability of the global target nodes and even reduce the nodes energy consumption. Third, the adaptation function covers the continuity of the covered target positions and the monitoring range of the nodes. Optimization is also performed to achieve the goals of increasing network coverage and extending the network lifetime. Finally, simulation results show that the proposed CoC-SCS algorithm compared with other three algorithms in this paper has improved 11.27% and 16.35% on average in terms of network coverage, network lifetime, etc., and 13.95% in terms of network energy overhead, thereby we can further verify that CoC-SCS algorithm has strong stability and effectiveness.
Highlights
Wireless sensor networks have realized the organic unification of the information world and the physical world, and have changed the way of the human world interacts with the physical world
Wireless sensor networks are largescale networks where a large number of inexpensive sensor nodes are randomly deployed in the monitoring area, and information is exchanged, and data is collected in real time through self-organization
Based on the above analysis, this paper proposes Cooperative-optimization Coverage Algorithm based on Sensor Cloud Systems in Intelligent Computing, CoC-SCS is based on the papers [29] and [46]
Summary
Wireless sensor networks have realized the organic unification of the information world and the physical world, and have changed the way of the human world interacts with the physical world. Li: CoC-SCS: Cooperative-Optimization Coverage Algorithm Based on Sensor Cloud Systems in Intelligent Computing wireless sensor network architecture, network protocols, target positioning and tracking, energy efficiency, and network communication. For this reason, building a reliable, real-time and efficient wireless sensor network system is a difficult and challenging task. (1) under the premise of ensuring perceptual coverage, communication coverage, and connectivity coverage, the maximum monitoring area should be covered with the fewest sensor nodes (2) On the premise of ensuring the smooth transmission of information and control commands in the network, the delay should be shortened as much as possible to improve the network lifetime. (4) In the fifth chapter, the stability and availability of the CoC-SCS algorithm which is in this paper can be verified by experiments of the simulation
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