Automated resolution of semantic heterogeneity in multidatabases
ACM Transactions on Database Systems (TODS)
Data Management for Mobile Computing
Data Management for Mobile Computing
A Hybrid Index Technique for Power Efficient Data Broadcast
Distributed and Parallel Databases
Data on Air: Organization and Access
IEEE Transactions on Knowledge and Data Engineering
Optimizing Index Allocation for Sequential Data Broadcasting in Wireless Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
Energy-Efficient Indexing on a Broadcast Channel in a Mobile Database Access System
ITCC '00 Proceedings of the The International Conference on Information Technology: Coding and Computing (ITCC'00)
Dynamic leveling: adaptive data broadcasting in a mobile computing environment
Mobile Networks and Applications
Energy-Efficient Scheduling Algorithms of Object Retrieval on Indexed Parallel Broadcast Channels
ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
Energy-Aware Object Retrieval from Parallel Broadcast Channels
IDEAS '04 Proceedings of the International Database Engineering and Applications Symposium
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Energy-efficient tree-based indexing schemes for information retrieval in wireless data broadcast
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications: Part II
COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
Algebraic data retrieval algorithms for multi-channel wireless data broadcast
Theoretical Computer Science
Efficient Approximation Algorithm for Data Retrieval with Conflicts in Wireless Networks
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
| Hi-index | 0.00 |
In pervasive and mobile computing environments, ''timely and reliable'' access to public data requires methods that allow quick, efficient, and low-power access to information to overcome technological limitations of wireless communication and access devices. The literature suggests broadcasting (one-way communication) as an effective way to disseminate the public data to mobile devices. Within the scope of broadcasting, the response time and energy consumption of retrieval methods have been used as the performance metrics for measuring the effectiveness of different access methods. The hardware and architecture of the mobile units offer different operational modes that consume different energy levels. Along with these architectural and hardware enhancements, techniques such as indexing, broadcasting along parallel channels, and efficient allocation and retrieval protocols can be used to minimize power consumption and access latency. In general, the retrieval methods attempt to determine the optimal access pattern for retrieving the requested data objects on parallel broadcast channels. The employment of heuristics provides a methodology for such ideal path planning solutions. Using informative heuristics and intelligent searches of an access forest can provide a prioritized cost evaluation of access patterns for requested data objects and, hence, an optimal path for the access of requested data on broadcast air channels. This paper examines two scheduling methods that along with a set of heuristics generate and facilitate the access patterns for retrieving data objects in the presence of conflicts in an indexed parallel broadcast channel environment. A simulation of the proposed schemes is presented for analyzing the relationship between response time and power consumption.