Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
Principles of Wireless Networks: A Unified Approach
Principles of Wireless Networks: A Unified Approach
GPS-Free Positioning in Mobile ad-hoc Networks
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 9 - Volume 9
Does topology control reduce interference?
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Topology control in wireless ad hoc and sensor networks
ACM Computing Surveys (CSUR)
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
Transmission power control in wireless ad hoc networks: challenges, solutions and open issues
IEEE Network: The Magazine of Global Internetworking
Mobility pattern recognition in mobile ad-hoc networks
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Dividing sensitive ranges based mobility prediction algorithm in wireless networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
An adaptive MST-based topology connectivity control algorithm for wireless ad-hoc networks
International Journal of Communication Networks and Distributed Systems
Journal of Network and Computer Applications
Hi-index | 0.00 |
In recent years mobile multi-hop wireless networks have received significant attention and one of the major research concerns in this area is topology control While topology control problem in ad hoc networks is NP-complete, several heuristic and approximation based solutions have been presented However, few efforts have focused on the issue of topology control with mobility In this paper, we introduce a new topology control scheme in the presence of mobile nodes The proposed scheme predicts future proximity of neighboring nodes and applies power control such that the network connectivity is maintained while reducing energy consumption Simulation results show that the optimal power selection based on location prediction gives better performance in terms of energy and connectivity.