Network thesis referred do wireless, routing, application, transport protocols and topologies. We offer network thesis in mobile Adhoc network, underwater sensor network, wireless mobile communication, vehicular Adhoc network for PhD projects. We consider network thesis to design & implement security system, routing and security protocols, web service algorithm, & energy efficient security algorithm for sensor network. We implement network thesis common to all computer, network communication, and information & network researchers. Most researchers require simulation tool such as NS2, NS3, OMNET++, opnet and QualNet to ensure simulation occurs for academic projects.
Multihop wireless network:
We implement wireless network projects from science direct papers which composed various features such as low cost, enhanced capacity & less infrastructure. We implement wireless sensor network and Adhoc network are the category of multihop wireless network. To attain QOS in multihop wireless network we design cross layer method which contain infrastructure less, unstable links, topology system and dynamic. It ensures a cooperative network communication, real time system performance evaluation and opportunities transmission in multihop wireless network.
Seamless wireless ATM network:
We implemented more than 90+ projects with the combination of wireless technology & multimedia network schemes to attain seamless wireless ATM network by our team. We use room sized Pico cell & multimedia mobile end point to enable user carrying multimedia endpoint. This network composed on one base station multiple mobile stations. We connect base station to network model by asynchronous traffic mode & wireless last ATM hop to mobile host. We perform communication by wireless ATM links, uses datagram protocol, transmission control protocol and communication using internet protocol.
Soft sensor for energy efficiency in wireless network control system:
We use wireless based network control system to sense environmental condition & transmit data wireless node. Sensor node composed of limited power, By transmitting data it lost some energy. Sensor node contain less batteries power so network researchers taking the issue and ensure efficient routing algorithm, adaptive power adjustment algorithm and work load analysis to serve sensor node energy.
Load balanced broadcast scheduling for wireless sensor network:
We develop this process to minimize the maximum workload in wireless sensor nodes. We provide load balanced broadcast scheduling (LBCAST) algorithm to broadcast low duty cycle information node to neighboring node. We capture spatiotemporal characteristics of wireless sensor network nodes. We use this information in LBCAST algorithm to solve the directed minimum weighted degree Steiner tree problem. By this algorithm, we can analyze work load of all network nodes. We determine routing path from source to destination by AODV routing protocol. When the routing link fails due to node mobility or other scenario, then LBCAST algorithm enable adaptive power adjustment algorithm which automatically adjust network node power level and transmit a data to destination node.