load balancing in rfid tag the sink is only incident to incoming edges each having See more $34.77
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The argue NP-hardness of the MCA problem, we consider a restricted unit-disk graph (UDG) model, where the com-munication range of all readers and tags are assumed to be the same (). We can show that MCA is NP-hard in the r UDG model (and thus in . See morethe sink is only incident to incoming edges each having See morehas a positive T length lij Z+, which represents the amount ∈ of time needed to execute task (completely) on processor tj pi . A schedule : is . See moreOur MTA algorithm is essentially an iterative binary search process; in each iteration, we test some specific load to see if there exists some assignment : such that φ V the U number of . See more
In this paper, we study load balancing in large-scale RFID systems. Our objective is assigning tags to readers in such a way that the maximum total cost required at any reader .
Load Balancing in Large-Scale RFID Systems. Abstract—A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication. In this paper we, therefore, address this load balancing . In this paper, we study load balancing in large-scale RFID systems. Our objective is assigning tags to readers in such a way that the maximum total cost required at any reader to retrieve data from its assigned tags is minimized.
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In this paper, we address these load balancing problems in the context of very inexpensive (few cents) passive tags, i.e., tags that have no power source of its own and have very limited capabilities. Due to their low costs, it is practical to attach these tags .
To solve the load-balancing issue in RFID middleware systems, this work presents a load-balancing mechanism based on grid networking technology. In this architecture, one reader can read multiple tags through different RF frequencies, and one RFID middleware is connected to many readers.We first present an experimental evaluation of reader performance with increasing tag density that illustrates the need for efficient load balancing algorithms in large-scale RFID systems. In these experiments, we used the Alien ALR-9800 Generation 2 reader and ALL-9440 Squiggle tags [2].Load Balancing in Large-Scale RFID Systems Abstract: A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication.
The current RFID system is based on a distributed computing system to process a great volume of tag data. Therefore, RFID M/W should provide load balancing for consistent and high system performance. Load balancing is a technique to solve workload .
A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication.Load balancing is a fundamental technique for providing scalability of systems by moving workload from overloaded nodes to under-loaded nodes. This paper presents an approach to adaptive load balancing for RFID middlewares. In this paper, we study load balancing in large-scale RFID systems. Our objective is assigning tags to readers in such a way that the maximum total cost required at any reader to retrieve data from its assigned tags is minimized.Load Balancing in Large-Scale RFID Systems. Abstract—A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication. In this paper we, therefore, address this load balancing .
In this paper, we study load balancing in large-scale RFID systems. Our objective is assigning tags to readers in such a way that the maximum total cost required at any reader to retrieve data from its assigned tags is minimized.In this paper, we address these load balancing problems in the context of very inexpensive (few cents) passive tags, i.e., tags that have no power source of its own and have very limited capabilities. Due to their low costs, it is practical to attach these tags .
To solve the load-balancing issue in RFID middleware systems, this work presents a load-balancing mechanism based on grid networking technology. In this architecture, one reader can read multiple tags through different RF frequencies, and one RFID middleware is connected to many readers.We first present an experimental evaluation of reader performance with increasing tag density that illustrates the need for efficient load balancing algorithms in large-scale RFID systems. In these experiments, we used the Alien ALR-9800 Generation 2 reader and ALL-9440 Squiggle tags [2].Load Balancing in Large-Scale RFID Systems Abstract: A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication. The current RFID system is based on a distributed computing system to process a great volume of tag data. Therefore, RFID M/W should provide load balancing for consistent and high system performance. Load balancing is a technique to solve workload .
A radio frequency identifier (RFID) system consists of inexpensive, uniquely-identifiable tags that are mounted on physical objects, and readers that track these tags (and hence these physical objects) through RF communication.Load balancing is a fundamental technique for providing scalability of systems by moving workload from overloaded nodes to under-loaded nodes. This paper presents an approach to adaptive load balancing for RFID middlewares.
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Load balancing in large
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