Learn More
— Wireless sensor network is an emerging technology that enables remote monitoring objects and environment. This paper proposes a protocol to track a mobile object in a sensor network dynamically. The previous researches almost focus on how to track object accurately and they do not consider the query for mobile sources. Additionally, they need not report(More)
A mobile ad-hoc network (MANET) is a characteristized by multi-hop wireless links, in the absence of any cellular infrastructure, as well as frequent host mobility. Existing on-demand multicasting protocols are categorized into tree-based and mesh-based strategies. In this paper, we propose a new on-demand multicast routing protocol, named(More)
—Service discovery is a crucial operation for the usabil-ity of mobile ad hoc networks (MANETs). Traditional solutions to service discovery that were adopted on the Internet are not well suited for MANETs because of their dynamic nature. This paper presents a novel service discovery protocol based on a hierarchical grid architecture in an ad hoc network.(More)
Based on the Mendia and Sarkar's algorithm [8], we propose an optimal and nonredundant distributed broadcasting algorithm in star graphs. For an n-dimensional star graph, our algorithm takes O(n log, n) time and guarantees that all nodes in the star graph receive the message exactly once. Moreover, broadcasting m packets in a pipeline fashion takes O(m log,(More)
Efficiently solving the personalized broadcast problem in an interconnection network typically relies on finding an appropriate spanning tree in the network. In this paper, we show how to construct in a complete star graph an asymptotically balanced spanning tree, and in an incomplete star graph a near-balanced spanning tree. In both cases, the tree is(More)
If ubiquitous learning (u-learning) is to be effectively developed and feasibly applied to education, it is necessary to evaluate its effectiveness. Yet to achieve a sound evaluation, a particular paradigm must be employed to fit the problem domain. Toward this end, the authors of this study have adopted a meaningful learning paradigm. Meaningful learning(More)