Architecture and protocol design for a pervasive robot swarm communication networks

Self Cite

Power transmission is the bulk transfer of electrical energy from power plants to sub-stations. A wireless sensor network is a promising technology for transmission line monitoring due to its low cost, easy installation, large-scale coverage, and fault tolerance characteristics. A wireless sensor network is application-specific; therefore, we investigate the new features and requirements of the wireless sensor network used in transmission line monitoring. Then, we propose an efficient wireless sensor network framework, which includes a clustering algorithm to simplify network management and to balance the network's energy consumption and a hybrid media access control (MAC) (H-MAC) protocol to handle traffic variability. The framework takes advantage of the features of network topology and traffic pattern to optimize the protocols' performance on real time and energy efficiency. The results indicate that the H-MAC shows a significant improvement in the network's reliability, real-time performance, and energy efficiency, and the cluster hierarchy can balance the network's energy consumption. Furthermore, the cluster hierarchy also prolongs the network's lifetime.

Section: Related Workmentioning

confidence: 99%

Monitoring power transmission lines using a wireless sensor network

Lin

Zhu

Zeng

et al. 2014

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“…Zhang et al provided a survey on primate social systems and their applications in mobile and static sensor networks. Li et al designed a pervasive robot swarm communication architecture and prototype. Xiao and Zhang proposed a divide‐and‐conquer‐based surveillance framework using robots, sensor nodes, and radio frequency identification (RFID) tags.…”

Section: Related Workmentioning

confidence: 99%

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

Zheng

Huang

Wang

et al. 2012

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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.

“…Authors in References 19–21 study collaborations among robots using game theory. A robot communication is studied in Reference 22. A survey of primate scent marking and applications is given in 23.…”

Section: Related Workmentioning

confidence: 99%

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

Xiao¹,

Zhang²

2011

Self Cite

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.