In mobile distributed systems the data on air can be accessed by a lot of clients. This paper describes the way clients access the wireless broadcasted data in short latency. We define and analyze the problem of wireless data scheduling. For the analysis we propose a measure, named Query

-uniformly accessed data. The Broadcast Disk superimposes multiple disks spinning at different speeds on a single broadcast channel — in effect creating an arbitrarily fine-grained memory hierarchy. In addition to proposing and defining the mechanism, a main result of this work is that exploiting the potential

resources led us to reconsider design issues, particularly those concerning the acoustic models and the decoding strategy. A new decoder was implemented which transcribes broadcast data in few times real-time with only a slight increase in word error rate when compared to our best system. Experiments

to decrypt. We demonstrate the applicability of our construction to sharing of audit-log information and broadcast encryption. Our construction supports delegation of private keys which subsumes Hierarchical Identity-Based Encryption (HIBE). E.3 [Data En-

The proliferation of applications that must reliably distribute bulk data to a large number of autonomous clients motivates the design of new multicast and broadcast protocols. We describe an ideal, fully scalable protocol for these applications that we call a digital fountain. A digital fountain

ary standard. Because its success is largely dependent on the radio listener#s ability to use the same radio data system receiver in the same manner in any location, it is hoped that broadcasters and equipment manufacturers will comply with the spirit and the letter of this standard. This standard

for resource-constrained environments and wireless communication. SPINS has two secure building blocks: SNEP and TESLA. SNEP provides the following important baseline security primitives: Data con£dentiality, two-party data authentication, and data freshness. A particularly hard problem is to provide efficient

data files and cooperate to route requests to the most likely physical location of data. No broadcast search or centralized location index is employed. Files are referred to in a location-independent manner, and are dynamically replicated in locations near requestors and deleted from locations

collection of linear equations for calculating the energy consumed in sending, receiving and discarding broadcast and pointto -point data packets of various sizes. Some implications for protocol design and evaluation in ad hoc networks are discussed. Keywords---energy consumption, IEEE 802.11, ad hoc

Mobile computing environment has two kinds of restrictions that others do not have : bandwidth-limitation and energy-restriction. Data broadcasting has many applications in mobile computing because it has two desirable characteristics that overcome above restrictions. There have been some