Networks-on-chip （NoC）, a new system on chip （SoC） paradigm, has become a great focus of research by many groups during the last few years. Among all the NoC architectures that have been proposed until now, 2D-Mes...Networks-on-chip （NoC）, a new system on chip （SoC） paradigm, has become a great focus of research by many groups during the last few years. Among all the NoC architectures that have been proposed until now, 2D-Mesh has proved to be the best architecture for implementation due to its regular and simple interconnection structure. In this paper, we propose a new interconnect architecture called 2D-diagonal mesh （2DDgl-Mesh） for on-chip communication. The 2DDglMesh is almost similar to traditional 2D-Mesh in aspects of cost, area, and implementation, but it can outperform the later in delay. The both architectures are compared by using NS-2 （a network simulator） and CINS1M （a component based interconnection simulator） under the same traffic models and parametric conditions. The results of comparison show that under the proposed architecture, the packets can almost always be routed to their destinations in less time. In addition, our archi- tecture can sometimes perform better than 2D-Mesh in drop ratio for special fixed traffic models.展开更多
As a joint effort between the Chinese Academy of Sciences and the Hong KongUniversity of Science and Technology, the BLOSSOMS sensor network project aims to identify researchissues at all levels from practical applica...As a joint effort between the Chinese Academy of Sciences and the Hong KongUniversity of Science and Technology, the BLOSSOMS sensor network project aims to identify researchissues at all levels from practical applications down to the design of sensor nodes. In thisproject, a heterogeneous sensor array including different types of application-dependent sensors aswell as monitoring sensors and intruding sensors are being developed. Application-dependentpower-aware communication protocols are also being studied for communications among sensor nodes. Anontology-based middleware is built to relieve the burden of application developers from collecting,classifying and processing messy sensing contexts. This project is also developing a set of toolsallowing researchers to model, simulate/emulate, analyze, and monitor various functions of sensornetworks.展开更多
基金supported by the National Natural Science Foundation of China under Grant No.60425413
文摘Networks-on-chip （NoC）, a new system on chip （SoC） paradigm, has become a great focus of research by many groups during the last few years. Among all the NoC architectures that have been proposed until now, 2D-Mesh has proved to be the best architecture for implementation due to its regular and simple interconnection structure. In this paper, we propose a new interconnect architecture called 2D-diagonal mesh （2DDgl-Mesh） for on-chip communication. The 2DDglMesh is almost similar to traditional 2D-Mesh in aspects of cost, area, and implementation, but it can outperform the later in delay. The both architectures are compared by using NS-2 （a network simulator） and CINS1M （a component based interconnection simulator） under the same traffic models and parametric conditions. The results of comparison show that under the proposed architecture, the packets can almost always be routed to their destinations in less time. In addition, our archi- tecture can sometimes perform better than 2D-Mesh in drop ratio for special fixed traffic models.
文摘As a joint effort between the Chinese Academy of Sciences and the Hong KongUniversity of Science and Technology, the BLOSSOMS sensor network project aims to identify researchissues at all levels from practical applications down to the design of sensor nodes. In thisproject, a heterogeneous sensor array including different types of application-dependent sensors aswell as monitoring sensors and intruding sensors are being developed. Application-dependentpower-aware communication protocols are also being studied for communications among sensor nodes. Anontology-based middleware is built to relieve the burden of application developers from collecting,classifying and processing messy sensing contexts. This project is also developing a set of toolsallowing researchers to model, simulate/emulate, analyze, and monitor various functions of sensornetworks.
