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In this paper we consider a sensor network with unreliable wireless links, a pre-defined path in the monitoring region, and a mobile sink traveling along the path. The sink departs from a depot, chooses some anchor points on the path to stop for data collection, and finally returns to the depot after a given monitoring duration. The per-tour traveling distance of the sink is bounded by a specified...
In this paper we consider a remote monitoring scenario where the monitoring center is geographically located far away from the region of the deployed sensor network, and the sensing data by the sensors is transmitted to the monitoring center through a third party telecommunication service, thus a cost associated with this service will be incurred, which is related to the amount of data successfully...
Compared with the vehicle monitoring system that implements the management in physical entity dimension of road traffic, this paper presents a vehicle monitoring system based on the Internet of Things. Through the control of the vehicle in the virtual information space, it achieves accurate and intelligent vehicle management. 5 layers framework of the system and its working principals are described...
In this paper we investigate the benefits of placing optimal number of sinks for a wireless sensor network (WSN) to prolong the network lifetime, provided that the number of hops from each sensor to its nearest sink is no more than h>=1 and the sink location space is given in advance. We first formulate this problem as a joint optimization problem, which consists of finding the optimal number of...
In this paper we explore the mobility of a mobile sink in a wireless sensor network (WSN) to prolong the network lifetime. Since the mechanical movement of mobile sink is driven by petrol and/or electricity, the total travel distance of the mobile sink should be bounded. To minimize the data loss during the transition of the mobile sink from its current location to its next location, its moving distance...
Data samples sensed from a densely deployed sensor network often exhibit strong spatial and temporal correlation. Sampling and transmitting these highly correlated data through wireless channel would result in excessive energy consumption. One way to conserve energy is to set a portion of sensors into sleep mode provided their missing data can be well recovered by sensors that remain active. Different...
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