This paper focuses on the impact of topology on Bluetooth personal area network. We first present some observations on performance degradations of Bluetooth PAN due to network topologies, and then analyze its reason. Based on our analysis, we propose a flexible scatternet formation algorithm under conference scenario for multi-hop communication. By using proposed method, scatternet can be forme...

Mixed-initiative case replay introduces an active human into the case-based planning process. The goals of this novel technique are to utilize the strengths of machine-based case replay to improve human performance and to allow a human to override a machine’s abstract representation of an actual domain. The synthesis of these two approaches in a planning domain enables flexible solutions to pla...

Existing reliable-oriented routing protocols computes link reliability based on the packet reception ratio and neglects impact of various parameters such as noise, shadowing, battery-lifespan, uncertainty and geographic locations. In this paper, we propose a Link Reliable Reactive Routing (LR3) protocol for WSNs to accomplish reliable and resilience to out-of-order transmission and path diversi...

Demand for high data rates is increasing rapidly for the future wireless generations, due to the requirement of ubiquitous coverage for wireless broadband services. More base stations are needed to deliver these services, in order to cope with the increased capacity demand and inherent unreliable nature of wireless medium. However, this would directly correspond to high infrastructure cost and ...

Performance evaluation and reliability prediction are two important factors in the study of multiprocessor and cluster interconnects. One such interconnect is the Scalable Coherent Interface (SCI). SCI is a point-to-point, ringbased interconnect that can be configured in various switched-ring topologies such as counter-rotating rings and tori. While performance analyses of SCI-based interconnec...

We study the cold-start link prediction problem where edges between vertices is unavailable by learning vertex-based similarity metrics. Existing metric learning methods for link prediction fail to consider communities which can be observed in many real-world social networks. Because di↵erent communities usually exhibit di↵erent intra-community homogeneities, learning a global similarity metric...