Abstract-This paper checks the correctness of our novel algorithm for secure, reliable and flexible transmission of big data in two-hop wireless networks using cooperative jamming scheme of attacker location unknown through Markovian process. Big data has to transmit in two-hop from source-to-relay and relay-to-destination node by deploying security in physical layer. Based on our novel algorithm, the nodes of the network can be identifiable, the probability value of the data absorbing nodes namely capture node C, non-capture node NC, eavesdropper node E, in each level depends upon the present level to the next level, the probability of transition between two nodes is same at all times in a given time slot to ensure more secure transmission of big data. In this paper, maximum probability for capture nodes is considered to justify the efficient transmission of big data through Markovian process.
Mobility and Quality of Service(QoS) plays a vital role in the Wireless networks based on the IEEE 802.11 protocol family.When mobile systems move across heterogeneous networks, ongoing real time sessions are affected not only by handoff delay but also by jitter. With respect to this scenario, we describe the features to enhance mobility by reducing the handoff latency along with reduced packet loss across the heterogeneous networks such as WLAN and UMTS by comparing the predicted rss (received signal strength) against two thresholds calculated by the mobile terminal (MT) to make handoff decision. The packet losses can be reduced by having jitter buffer with some extra delay added. Handoff speed can be improved by having pre-handoff notification using CoA (Care of Address) maintained in each router and hence the binding updates to home agent and correspondent node are performed once Previous Access Router knows a mobile node's new CoA. By this during handoff only the node movement happens hence reducing handoff latency.
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