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Middleware is the software layer that lies between applications and the devices, which make diverse vehicles exchange information transparently in Vehicular Ad Hoc Network (VANET). And the useful information can be seen as services which include web surfing, coordinated braking, runway incursion prevention, adaptive traffic control and many others. In this paper, we focus on discovering the optimal...
Introducing component-based development (CBD) method, a smart space service component system supporting and enhancing mobile robot is designed, with basic structure and interaction modes proposed for service components, based on which cross-platform service invocation is realized for robot, thus solves the assistant resource's diversity and heterogeneity problems. Service component encapsulates assistant...
This paper discusses the NP-complete multi-constrained path problem with imprecise state information, and a heuristic pre-computation algorithm based on flooding with imprecise additive link state information is presented. This algorithm uses limited flooding policy based on selective non-dominated path and can find paths from present node to all other nodes only running once. And the algorithm deals...
In multiuser MIMO systems, the Channel Inversion Regularization (CIR) precoding outperforms Zero-Forcing (ZF) in the case of a small number of users and low SNR. However, unlike the zero-interference ZF, the optimal power allocation issue using CIR is a nonconvex optimization problem which will become more intractable with nonconvex QoS constraints. In this paper we focus on the challenging QoS-aware...
In multiuser MIMO systems, the achievable system data rate as well as quality of service (QoS) of individual users is limited by the inter-user interference (IUI). The interference balancing issue via power allocation can be usually formulated as a nonconvex optimization problem which will become more intractable with nonconvex QoS constraints. In this paper we focus on the challenging QoS-aware optimal...
This paper discusses the NP-complete multi-constrained path problem with imprecise state information, and a distributed heuristic framework without any imprecision assumption is presented. This framework needs no link state exchanging message, and employs mobile agents to search feasible paths in parallel. Two key strategies are used: to select a suitable next node, and to choose the appropriate one...
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