Connection data rate optimisation of IEEE 802.15.3 scatternets with multirate carriers

Wireless process control has been a popular topic recently in the field of industrial control. In the industrial field, wireless technologies are considered despite the lack of an ideal industrial wireless standard. However, application development of industrial wireless networks is slow due to the lack of an ideal standard. Open standards are the foundation of industrial wireless application extensions. This paper first summarizes a standardized process for industrial wireless network technologies and then introduces network composition, network topology, protocol stack architecture, and some key protocol technologies of WIA-PA, which is an international specification of industrial wireless networks for process automation. Furthermore, a comparison between WIA-PA and other main industrial wireless network specifications like WirelessHART and ISA100.11a is provided. Architecture and key technologies of a WIA-PA are also introduced. Our first-hand experiences in developing WIA-PA testbed based on the modularization method are given. Finally, experiment results illustrate the performance and efficiency of WIA-PA.

Section: Wia‐pa Standardmentioning

confidence: 99%

Survey and experiments of WIA‐PA specification of industrial wireless network

Liang¹,

Xiao²,

Wang³

et al. 2011

“…However, the models developed in are based on the assumption that each individual is able to interact with only a few other individuals (generally three or four) in the same vicinity. There are other much related works .…”

Section: Related Workmentioning

confidence: 99%

The effects of wireless communication failures on group behavior of mobile sensors

Zheng

Huang

Wang

et al. 2012

In social groups, complex group behavior often emerges from the local interaction among simple individuals. Throughout this study, we assume that individuals can access information by way of wireless communication. In this case, individuals are able to exchange accurate information with each other as long as wireless communication links between them are allowed. Subsequently, we propose a consensus decision-making model for studying the consistency of group behavior considering both the wireless communication range and the probability of successful communication. Our simulation results show the following conclusions: (i) consistency of the group behavior is absolutely achieved, when the wireless communication range is large enough and the probability of successful communication p D 1; (ii) when the wireless communication range is large enough, the consistency of the group behavior is still achieved as long as p is bigger than some small constant; and (iii) the law in (iii) remains applicable when the number of individuals in the group changes. Therefore, one may infer that consistency of group behavior in mobile sensors is much more related to the extent of distribution of obtainable information than the amount of information, where the extent of distribution of obtainable information means that each individual can obtain information from wider area or from those individuals who are not only in its local area.

“…Sensor coverage is studied in References 30–34, and k ‐set Randomized Scheduling Scheme is studied in References 31–33. Many related schemes in sensor networks are presented in References 35–62.…”

Section: Related Workmentioning

confidence: 99%

Divide‐ and conquer‐based surveillance framework using robots, sensor nodes, and RFID tags

Xiao¹,

Zhang²

2011

Sensor networks are adopted in many surveillance applications. A traditional method for such applications is to deploy sensor nodes all over the surveillance region in order to cover as much area as possible. However, this way not only waste huge amounts of money for sensor nodes and resources, but it is also unnecessary and unrealistic sometimes. It provides huge amounts of garbage in the form of dead sensor nodes and batteries. It invokes many data collisions and places a serious burden on network protocols. In many applications, we have no need to have detail on every point inside the area, but only in some critical places. For example, in a forest fire surveillance application, covering the whole forest is unnecessary and unrealistic. In this paper, we propose a divide-and conquer-based surveillance framework, in which a large surveillance area is divided into small areas by critical points and critical lines. Sensor nodes, sinks, robots, and RFID tags are all used. We only deploy sensor nodes along critical lines instead of all over the region. Our aim is to do surveillance with efficient deployment of sensor nodes and sinks, and to detect, track, and even capture targets, e.g., an intrusion tank or forest fire, with the collaboration of robots and sensor nodes. We study boundary coverage along critical lines. Robots perform tasks of patrolling, handling incidents, communicating with sensor nodes/sinks, and even being capable of deploying/throwing-out sensor nodes/RFID tags. Finally, we evaluate perimeter coverage, robot patrol routing, and so on.