Previous bufferless router designs require to drop and retransmit packets or deflect them each time a network channel get conflicted. These approaches, unfortunately, make data packets and even their flits arrive at destinations out-of-order. In this work, we present a new bufferless router architecture that provides in-order packet delivery. The key idea is to utilize pipeline registers at cha...

A subjectively influenced router for vehicles in a fourjunction traffic system is presented. The router is based on a 3-layer Backpropagation Neural Network (BPNN) and a greedy routing procedure. The BPNN detects priorities of vehicles based on the subjective criteria. The subjective criteria and the routing procedure depend on the routing plan towards vehicles depending on the user. The routin...

Energy efficiency is an important criterion in the design of next generation networks for both economic and environmental concerns. This paper presents an energy-efficient router that is able to dynamically adapt its routing capability in response to real-time traffic load, achieving energy proportional routing. The NetFPGA reference router, which operates at one of two frequencies (125 MHz or ...

Managing the complexity of designing chips containing billions of transistors requires decoupling computation from communication. For the communication, scalable and compositional interconnects, such as networks on chip (NoC), must be used. In this paper we show that guaranteed services are essential in achieving this decoupling. Guarantees typically come at the cost of lower resource utilizati...

NEMO Basic Support (NEMO BS) adds a mobility function to IPv6 routers, such a router is called as a mobile router. The network behind the mobile router (mobile network) becomes logically static. This function is considered useful when a network has a lot of nodes that do not have a mobility function but move with the network. The typical usage of this technology is the network provided in a tra...

A subjectively influenced router for vehicles in a fourjunction traffic system is presented. The router is based on a 3-layer Backpropagation Neural Network (BPNN) and a greedy routing procedure. The BPNN detects priorities of vehicles based on the subjective criteria. The subjective criteria and the routing procedure depend on the routing plan towards vehicles depending on the user. The routin...