Jinshan Liu

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Mobile ad hoc networks (MANET) offer a convenient basis toward realization of pervasive computing, due to its ease of deployment and inherent support for anytime, anywhere network access for mobile users. However, the development of applications over such networks is faced by the challenge of network dynamics attributed to node mobility and the scalability(More)
Today's wireless networks and devices support the dynamic composition of mobile distributed systems, according to device connectivity. This has in particular led to the introduction of a number of supporting middleware. However , such solutions need to be complemented with adequate modeling and verification support towards enforcing the correctness of the(More)
Incentive scheme for stimulating service provision in Mobile Ad hoc NETworks (MANET) has been under intensive investigation due to its significance to the operation of MANET. This paper applies distributed algorithmic mechanism design and utilizes Vickrey auction for service allocation in mobile ad hoc networks. We show that our method stimulates service(More)
The vision of <i>ubiquitous</i> computing is becoming a reality thanks to the advent of portable devices and the advances in wireless networking technologies. It aims to facilitate user tasks through seamless utilization of services available in the surrounding environments. In such distributed environments featuring openness, interactions, especially(More)
Due to the large success of wireless networks and handheld devices, the ambient intelligence (AmI) paradigm is becoming a reality. One of the most challenging objectives to achieve in AmI environments is to enable a user to perform a task by composing on the fly networked services available at a specific time and place. Towards this goal, we propose a(More)
— Service discovery is an important part of realization towards ubiquitous computing with self-configurable mobile ad hoc networks. However, it is faced by the challenge of network dynamics due to node mobility. In this paper, we propose a signal strength based service discovery framework in mobile ad hoc networks. Service discovery is carried out(More)
A reliable and precise classification of tumors is essential for successful treatment of cancer. Gene selection is an important step for improved diagnostics. The modified SFFS (sequential forward floating selection) algorithm based on weighted Mahalanobis distance, called MSWM, is proposed to identify optimal informative gene subsets taking into account(More)