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With advanced information technologies and industrial intelligence, Industry 4.0 has been witnessing a large scale digital transformation. Intelligent transportation plays an important role in the new era and the classic vehicle routing problem (VRP), which is a typical problem in providing intelligent transportation, has been drawing more attention in recent years. In this article, we study multidepot...
The emergence of low-cost 3D printing has catalyzed many new applications in academic, industrial, military, and medical fields. 3D printing has been dubbed a very slow process because its most common underlying printing method, Fused Deposition Modeling (FDM), is time-consuming due to the limited speed of the extruder. Multiple extruders, working simultaneously, can accelerate the printing process,...
Radio-map based method has been widely used for indoor location and navigation, but remaining key challenges are: 1) laborious efforts to calibrate a fine-grained radio-map, and 2) the locating result inaccuracy and not robust problems due to random signal strength (RSS) noises. An efficient way to overcome these problems is to collect RSS signatures along indoor paths and utilize sequence matching...
Binary proximity sensors (BPS) is a generic model for many non- collaborative, presence detecting sensor. It outputs ``1'' when one or more targets are presenting in its sensing range and ``0" otherwise. It cannot tell the number of targets nor the targets' identities in its sensing range. But for its privacy protection and device-free properties, BPS-based tracking has attracted great attentions...
Rendezvous is a fundamental process in constructing cognitive radio networks (CRNs), in which two users find a common channel for communication. The licensed spectrum is assumed to be divided into n non-overlapping channels and the users can sense the spectrum by equipping with cognitive radios. Most of previous works assume that the user can find a set of available channels (the channels not occupied...
Cognitive radio networks (CRNs) have been proposed to solve the spectrum scarcity problem. One of their fundamental procedures is to construct a communication link on a common channel for the users, which is referred as rendezvous. In reality, the capability to sense the spectrum may vary from user to user, and such users form what is known as a heterogeneous cognitive radio network (HCRN). The licensed...
Controlling a dynamic network is interesting and important in practical applications, which is to drive the network from any initial state to any desired state. Much research has been conducted in revealing the controllability and seeking the underlying correlations of the network. However, no existing works have considered the time needed to control the network, which we refer to as control latency...
Rendezvous process plays an important role in constructing Cognitive Radio Networks (CRNs), through which a user establishes a link on a common licensed channel for communication with its neighbors. Generally, the licensed spectrum is divided into N channels and most blind rendezvous algorithms are realized by the “channel hopping” method where each user repeats a Global Sequence constructed on top...
Rendezvous is a fundamental process in Cognitive Radio Networks, through which a user establishes a link to communicate with a neighbor on a common channel. Most previous solutions use either a central controller or a Common Control Channel (CCC) to simplify the problem, which are inflexible and vulnerable to faults and attacks. Some blind rendezvous algorithms have been proposed that rely on no centralization...
Gathering information in a sensing field of interest is a fundamental task in wireless sensor networks. Current methods either use multihop forwarding to the sink via stationary nodes or use mobile sinks to traverse the sensing field. The multihop forwarding method intrinsically has the energy hole problem and the mobile sinks method has a large gathering latency due to its low mobility velocity....
The SINR model has attracted much attention in the field of wireless networks. The path loss exponent α in the model is generally treated as a constant between two and six. However, in real scenarios, the path loss is influenced by many factors such as environment (vegetation and barriers), propagation medium (dry or moist air), the distance between the transmitter and the receiver, etc. Therefore,...
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