Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Why Journal ICON

A Bi-Monthly and Multidisciplinary Journal, High Quality Papers, Peer Review process, Open access policy, Fast Publication, Full Archive for life time

Wednesday, May 3, 2017

Low Cost Light Weight Sink Relocation Mechanism for WSN

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317009
Low Cost Light Weight Sink Relocation Mechanism for WSN

S.Dhanalakshmi and M.Sudha

Abstract: Generally in an exceedingly Wireless sensing element Network, sensing element nodes deliver detected information back to the sink via multi-hopping. The sensing element nodes close to the sink can typically consume additional battery power than others; consequently this node can quickly drain out their energy and shorten the network period of the Wireless sensing element Network. Sink relocation is associate degree economical network period extension methodology, that avoids overwhelming an excessive amount of energy for a particular cluster of sensing element nodes. During this paper, we tend to propose moving strategy referred to as Energy aware sink relocation for mobile sinks in Wireless sensing element Networks. The projected mechanism uses the residual energy of sensing element nodes to regulate the transmission vary sensing element and to relocate the sink. Theoretical and numerical analyze ar given to point out that the Energy aware sink relocation methodology will extend the network period of the Wireless sensing element Network considerably. NS2 simulation result shows projected structure improve period with efficiency.



An Efficient Brain Tumour Detection Using Region of Interest

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317009
An Efficient Brain Tumour Detection Using Region of Interest

V.Sowmiya and R.Mohanapriya

Abstract: In the medical field analyzing image is vital for several method. In our body several organs area unit gift however brain is incredibly necessary for all operate. Suppose if it affected by any growth that is gift within the brain. For analyzing tumor compression method is required. Here ROI is employed for compression method. ROI provides smart compression. Compression is nothing however to scale back the information while not loss of data that ought to be bestowed within the digital image. During this paper writing, several parameters were analyzed like MSE, PSNR.



Spectrum Optimization for Cognitive Radio Network

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317008
Spectrum Optimization for Cognitive Radio Network

V.Sowmiya and R.Mohanapriya

Abstract: Wireless sensor networks (WSN) principally work on the mounted and unauthorised Industrial, scientific and medical (ISM) spectrum. attributable to increasing spectrum shortage in WSN, the psychological feature radio detector networks (CRSN) is projected to require on the psychological feature radio(CR) technology to form use of spectrum resources dynamically (dynamic spectrum access DSA). But it`s a challenge to extend the transfer rates and also the output within the CRSN as a result of the facility and method restrictions. We have a tendency to propose associate degree best spectrum sensing and access mechanism specified the common energy price of the secondary user, which incorporates the energy consumed by spectrum sensing, channel switch and knowledge transmission is decreased also output delay of the secondary transmission are analyzed. Optimality is achieved by together considering 2 elementary tradeoffs concerned in energy diminution. The sensing/transmission trade-off and wait/switch trade-off. The benefits of the projected spectrum sensing and access mechanism are shown through the Ns2 simulations.



Study on Flexural Behavior of Ferrocement Slab Panels

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317007
Study on Flexural Behavior of Ferrocement Slab Panels

K. Muthazhagu and B. Sivagurunathan

Abstract: Lightweight panels find its application in the rapid – phase construction works notably in the rehabilitation of small structures. Ferro cement panels are the one belong to such family shows good characteristics in terms of its mechanical properties. As these panels accommodate reinforcement in the form of wire mesh both on transverse and longitudinal direction, it delays the failure to some extent. More over when panels are cast in trough shaped it improves flexural capacity due to increased moment of inertia. In this work two folded panels in the ratio of 1:1 mortar mix with water cement ratio of 0.3 is prepared. To obtain the workable mix super plasticizer of one percentage by weight of cement is mixed along with the mix. The number of layer of wire mesh kept over reinforcement is varied form single layer to double layer. The increase in the number of layer procrastinates the crack load significantly.



An Bait Address Based Backpressure Routing for MANET

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317005
An Bait Address Based Backpressure Routing for MANET

S.Jotheeshwaran and A.Kumaravel

Abstract: In mobile impromptu networks (MANETs), a primary demand for the institution of communication among nodes is that nodes ought to collaborate with every other. Within the presence of malevolent nodes, this demand could cause serious security concerns; for example, such nodes could disrupt the routing method. During this rule, to safeguard backpressure rule based mostly routing and scheduling protocols against varied business executive threats. This paper makes an attempt to resolve this issue by coming up with a dynamic supply routing (DSR)-based routing mechanism, that is said because the cooperative bait detection theme (CBDS), that integrates the benefits of each proactive and reactive defense architectures. Our CBDS methodology implements a reverse tracing technique to assist in achieving the declared goal.



An Efficient High Power Node Rejection Clustering Algorithm for WSN

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317005
An Efficient High Power Node Rejection Clustering Algorithm for WSN

S.Sivaranjani and M.Sudha

Abstract: Power heterogeneousness is common in mobile unplanned networks (MANETs). With high-octane nodes, MANETs will improve network quantifiability, property, and broadcasting lustiness WSN will improve network quantifiability, property victimization high power nodes however, the output of power heterogeneous WSN is full of these nodes. to beat this downside, a loose-virtual-clustering-based (LVC) routing protocol for power heterogeneous (LRPH) WSNs is planned .The algorithmic rule aim at making Bi directional links by exploiting the benefits of high-octane nodes. so as to decrease the interference raised by high-octane nodes, routing algorithms ar developed to avoid packet forwarding via high-octane nodes. we have a tendency to demonstrate the system implementation and experimental results through simulations.



An Efficient Brain Tumor Segmentation and Detection of MRI Images using Neural Network and Bi-cubic Interpolation

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317004
An Efficient Brain Tumor Segmentation and Detection of MRI Images using Neural Network and Bi-cubic Interpolation

P.Ammani and S.Kumarganesh

Abstract: Computer-aided detection systems will enhance the medicine capabilities of physicians and cut back the time needed for correct identification. The image plays a central role within the identification of brain tumors. Associate in Nursing economical pre-processing formula is projected during this paper for brain tumour detection supported digital image segmentation. Brain tumour could also be thought of among the foremost tough tumor to treat as; it involves the organ that isn't solely on top of things of the body. we have a tendency to projected a bi-cubic interpolation approach for brain tumour pre-processing, that gave the sting pattern of brain tumour itself. The cube-shaped convolution interpolation operate converges uniformly to the operate being interpolated because the sampling increment approaches zero, with the acceptable condition and constraints on the interpolation kernel, it is shown that the order of accuracy of the cube-shaped convolution technique is between linear interpolation and cube-shaped splines MAT research lab simulation has been accustomed validate the performance. To compare the performance of the various formula, a check image was zoomed dead set 1/2 the initial size and so the shriveled image is enlarged to its original size by exploitation totally different formula. MAT research lab result shows Bi-cubic interpolation will increase SNR from nineteen.1 to 23.5 significantly.



A Defence Against Sybil Attack in OLSR Protocol

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317003
A Defence Against Sybil Attack in OLSR Protocol

T. Saranya and A.Kumaravel

Abstract: An ad-hoc network is improved methodology of communication that reduces the network overhead. It’s a brief infrastructure less network that could be an assortment of mobile nodes within the dynamically kind and freely selforganize into absolute and temporary ad-hoc network topologies counting on their property with one another within the network. Nodes are unceasingly dynamic their locations and conjointly the node functioning depends on the restricted battery capability that's known as energy. This enables peoples and devices to seamlessly inter-network in areas wherever no pre-existing communication infrastructure exists. This network is usually freelance associate degree an isolated network. a collection of mobile nodes which might communicate directly with different nodes inside its transmission array and use multi-hop routing for nodes outside its transmission vary is named Mobile ad-hoc Network (MANETs). All nodes are battery operated, as battery power or battery energy restricted resource so it needs special attention to reduce energy consumption in MANETs. To have a secure communication it's should be a secure network. a very harmful and dangerous attack against mobile ad-hoc network is thought as Sybil attack. It creates a heavy threat to such network. A Sybil assaulter will either produce quite one identity on one physical device so as to launch a synchronic attack on the network or will switch identities so as to weaken the detection method, there by promoting lack of responsibility within the network it's powerfully fascinating to discover Sybil attacks and eliminate them from the network. During this paper, compared the present solutions and mentioned completely different strategies to eliminate the Sybil attack in painter and projected a light-weight theme victimisation the network machine Ns-2 to safeguard the network against Sybil attack while not victimisation centralized sure third party or any extra hardware like aerial or a geographical positioning system. Through the assistance of in depth simulations and real-world work experiments, the simulation results showed that our deviser works higher in mobile surroundings and might discover each join-and-leave and concurrent Sybil attackers. The projected theme detects Sybil identities with smart accuracy even within the presence of quality.



An Efficient LMS and Wavelet Based Fetal ECG Extraction Technique

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317002
An Efficient LMS and Wavelet Based Fetal ECG Extraction Technique

S.V.Vinoth and S.Kumarganesh

Abstract: In this project, projected a new technique for foetal electrocardiogram extraction supported wave analysis, the smallest amount mean square(LMS) adaptational filtering rule, and therefore the spatially selective noise filtration (SSNF) rule. First, abdominal signal sand pectoral signals were processed by stationary wave transform (SWT),and the wave coefficients a teach scale were obtained. For every scale, the detail coefficients were processed by the LMS rule. The constant of the abdominal signal was taken because the original input of the LMS adaptational filtering system, and therefore the constant of the pectoral signal because the reference input. Then, correlations of the processed wave coefficients were computed. the edge was set and noise parts were removed with the SSNF rule.



High Error Tolerant Erasure Channel for Segment Based Communication

Journal ICON
Year: 2017 | Volume: 2 | Issue: 3 | Paper ID: ICON020317001
High Error Tolerant Erasure Channel for Segment Based Communication

R.Mohana and Dr.R.Arangasamy

Abstract: The problem of simultaneously broadcasting a common source to multiple receivers over a broadcast channel remains a difficult open drawback in network data theory Each receiver is needed to part reconstruct the supply sequence by decipherment an explicit fraction of the supply symbols. Our theme involves ripping the supply sequence into multiple sections and applying a scientific erasure code to every such segment. During this project, novel decimal matrix code (DMC) supported dividesymbol is projected to boost knowledge responsibleness with lower delay overhead. The projected DMC utilizes decimal formula to get the most error detection capability of communication