Sensing coverage hole identification and coverage hole healing methods for wireless sensor networks

Alias

et al. 2022

Advances in Multimedia

This paper decomposes the routing process of industrial robot network using the application of analytic hierarchy process in decision-making. The influence of four factors, such as path length, data integrity, energy consumption, and receiving delay, on routing effect is analyzed. Simultaneous interpreting routes are selected to achieve the purpose of routing. Simulation results show that this method can more comprehensively consider the factors affecting routing and is superior to the existing methods in terms of energy consumption, data integrity, and transmission delay.

Section: Path Selection Processmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improved Routing Protocol Based on Multiobjective Optimization in Industrial Robot Networks

Alias

et al. 2022

Advances in Multimedia

“…Underwater wireless sensor nodes are easily affected by water flow and other factors, and the movement of nodes is usually unpredictable, which leads to rapid changes in the location coordinates of nodes [10]. Because the node coordinates are not easy to determine, it will affect the effective coverage of the node to the sensing area [11]. Underwater wireless sensor nodes usually add more sensing devices and some underwater transceiver devices in hardware design, which increases the cost of underwater sensor devices [12].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Area Coverage Based on Adjusting Node Spacing in Mixed Underwater Mobile Wireless Sensor Networks

Wireless Communications and Mobile Computing

2022

Wireless sensor nodes have the characteristics of small size, light weight, simple structure, and limited energy. They are random during deployment in the monitoring area, and the location of nodes is uncertain after deployment. It is easy to have uneven node distribution, resulting in dense nodes in some areas and sparse nodes in some areas. In the area with dense nodes, the monitoring area is covered repeatedly due to the distance between nodes which is too close. In the area with sparse nodes, the problem of covering blind areas appears due to the distance between nodes which is too far. Aiming at the complex structure of underwater wireless sensor networks, a coverage algorithm based on adjusting the nodes spacing is proposed. The algorithm calculates the reasonable distance between adjacent nodes before the wireless sensor node moves. The distance between wireless sensor nodes increases gradually. The simulation results show that the algorithm can make the clustered wireless sensor nodes disperse gradually by reasonably adjusting the distance between wireless sensor nodes, improve the coverage effect of wireless sensor networks, and reduce the energy consumption of wireless sensor nodes.

“…Wireless sensor network (WSN) is called the key technology of the fourth industrial revolution and one of ten technologies that affect human being. It has the characteristics of large‐scale, self‐organization, strong data processing energy, and good self‐adaptability 1–5 …”

Section: Introductionmentioning

confidence: 99%

Coverage optimization algorithm based on control nodes position in wireless sensor networks

2020

Int J Communication

Summary Coverage is one of the basic problems that any wireless sensor network application must solve properly to achieve the expected quality of service. The communication distance of wireless sensor network nodes is limited, the initial energy is low, and many optimization objectives need to be considered in the deployment, which makes the network deployment optimization very complicated, and many problems are difficult. In essence, the deployment problem is a multidimensional nonlinear optimization problem with continuous discrete variables. In order to meet the needs of network monitoring, this article establishes a reasonable mathematical model according to the research objectives. By adjusting node position to obtain better network coverage effect, an optimization algorithm of monitoring area coverage based on control node position is proposed. By calculating the new location of nodes, more monitoring areas can be covered by the nodes. The simulation results show that the proposed algorithm can improve the coverage effect rapidly.