SNR-Based Virtual Base Station for establishing a QoS Framework in MANET

Multi-hop Mobile Ad-Hoc wireless Networks (MANET) became commonly used in military and commercial applications. Therefore, to ensure a satisfactory network performance - according to the user’s applications requirements - we have to meet the most challenging QoS parameters in MANET environment. One of the most challenging issues in MANET is the lack of central coordination. Related studies dealing with QoS provisioning in MANET have suggested Virtual Base Station (VBS) election algorithms to select one Mobile Terminal (MT) or node to be a central coordinating and routing node or device for the other network’s nodes. These previous studies have built their algorithms based on: Max-Min d-cluster formation, or the battery residual power. The VBS protocol was invented in MANET in order to simulate the regular cellular network’s routing device and act as a central administrative point to relay the packets transmitted between the nodes. Since MANETs are commonly used in emergency applications that require a satisfactory QoS for almost all their users, thus, the improvement of the overall network’s throughput can be useful to establish a promising QoS framework once the proper integration of the MAC protocol with the routing and call admission mechanisms is established. This paper suggests an algorithm to elect the VBS based on the Signal to Noise Ratio SNR to reduce the “Packet Loss Ratio” and therefore improve the network’s throughput in (MANET).

[1]  Andrea J. Goldsmith,et al.  Design challenges for energy-constrained ad hoc wireless networks , 2002, IEEE Wirel. Commun..

[2]  Jorge Nuevo A Comprehensible GloMoSim Tutorial , 2004 .

[3]  C. Siva Ram Murthy,et al.  Ad Hoc Wireless Networks: Architectures and Protocols , 2004 .

[4]  Wendi B. Heinzelman,et al.  Network architecture to support QoS in mobile ad hoc networks [video streaming applications] , 2004, 2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763).

[5]  Rong Zheng,et al.  Asynchronous wakeup for ad hoc networks , 2003, MobiHoc '03.

[6]  Marwan Krunz,et al.  A perspective on the design of power control for mobile ad hoc networks , 2005 .

[7]  Peng Rong,et al.  Battery-aware power management based on Markovian decision processes , 2002, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[8]  Ravi Prakash,et al.  Max-min d-cluster formation in wireless ad hoc networks , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[9]  J. J. Garcia-Luna-Aceves,et al.  An efficient routing protocol for wireless networks , 1996, Mob. Networks Appl..

[10]  Niraj K. Jha,et al.  Battery-aware static scheduling for distributed real-time embedded systems , 2001, DAC '01.