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1. GLOBALSOFT TECHNOLOGIES
Improving Spectrum Efficiency Via In-Network
Computations In Cognitive Radio Sensor Networks
To alleviate the spectrum shortage for sensor networks with tremendous sensors, cognitive radio
technology enabling multi-hop opportunistic networking and concurrent transmissions overlaying the
primary system suggests an attractive facilitation of large-scale wireless sensor networks (WSNs)
and machine-to-machine communications. However, subsequent significant end-to-end delay in large
WSN can prohibit practical applications. Leveraging the nature of traffic in sensor networks, we
develop in-network computation to reduce requisite transmissions and to accommodate more
concurrent transmissions under a given spectrum. Specifically, distributed source coding and
broadcasting in wireless communication are exploited to build the computational framework and the
achievable network capacity is examined. Furthermore, a greedy networking algorithm is adopted to
justify significant improvement on end-to-end delay and further statistical QoS guarantee, while
yielding considerable system throughput gain for practical deployment of WSNs. Performance
evaluations confirm that we successfully demonstrate communication efficiency from in-network
computations and facilitate a new paradigm for spectrum efficient cognitive radio networks, which
shall be applicable in general multi-hop wireless networks and spectrum-sharing WSNs.
Existing System
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2. To alleviate the spectrum shortage for sensor networks with tremendous sensors, cognitive radio
technology enabling multi-hop opportunistic networking and concurrent transmissions overlaying the
primary system suggests an attractive facilitation of large-scale wireless sensor networks (WSNs)
and machine-to-machine communications. However, subsequent significant end-to-end delay in large
WSN can prohibit practical applications. Leveraging the nature of traffic in sensor networks.
Proposed System
we develop in-network computation to reduce requisite transmissions and to accommodate more
concurrent transmissions under a given spectrum. Specifically, distributed source coding and
broadcasting in wireless communication are exploited to build the computational framework and the
achievable network capacity is examined. Furthermore, a greedy networking algorithm is adopted to
justify significant improvement on end-to-end delay and further statistical QoS guarantee, while
yielding considerable system throughput gain for practical deployment of WSNs. Performance
evaluations confirm that we successfully demonstrate communication efficiency from in-network
computations and facilitate a new paradigm for spectrum efficient cognitive radio networks, which
shall be applicable in general multi-hop wireless networks and spectrum-sharing WSNs.
SYSTEM CONFIGURATION:-
HARDWARE CONFIGURATION:-
 Processor - Pentium –IV
 Speed - 1.1 Ghz
 RAM - 256 MB(min)
 Hard Disk - 20 GB
 Key Board - Standard Windows Keyboard
 Mouse - Two or Three Button Mouse
 Monitor - SVGA

3. SOFTWARE CONFIGURATION:-
 Operating System : Windows XP
 Programming Language : JAVA
 Java Version : JDK 1.6 & above.