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Subramanyam, M. V.
- Development of a New MAC Protocol Algorithm for Wireless Ad Hoc Networks with Power Control
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Affiliations
1 Department of ECE, Alfa College of Engineering and Technology, Kandukuri Metta, Allagadda, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal, Andhra Pradesh, IN
3 Jawaharlal Nehru Technological University, Kakinada, IN
1 Department of ECE, Alfa College of Engineering and Technology, Kandukuri Metta, Allagadda, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal, Andhra Pradesh, IN
3 Jawaharlal Nehru Technological University, Kakinada, IN
Source
Wireless Communication, Vol 4, No 7 (2012), Pagination: 348-350Abstract
In this paper we proposed a new MAC protocol algorithm which can achieve better spatial reuse , better throughput and a smaller packet loss using power control. It has achieved with power adjustments by calculating number of neighbors in the one hop neighborhood. Our simulation results shows that the multichip wireless network topology can be controlled with different transmission power on different power changes Existing IEEE standards and other related works are compared with our work and it concludes that the proposed work is more adaptable. . It is also witnessed from our work that the proposed work proves to be fair then the IEEE 802.11 protocol with a packet size of 524.Keywords
Power Control Protocol, Neighboring Nodes, MAC Protocol, Control Channel, Bandwidth Management Method, Distributed Coordination Function, Transmission Range, IEEE 802.11.- Power Control in Mac Protocol for Wireless Networks using Hybrid Optimization Techniques
Abstract Views :171 |
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Authors
Affiliations
1 K.O.R.M College of Engineering, Kadapa - 516003, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal, Kurnool - 518501, Andhra Pradesh, IN
3 J N T University, Kakinada - 533003, Andhra Pradesh, IN
1 K.O.R.M College of Engineering, Kadapa - 516003, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal, Kurnool - 518501, Andhra Pradesh, IN
3 J N T University, Kakinada - 533003, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: To propose power control techniques used in MAC protocol for wireless networks. Methods/Statistical Analysis: Energy reductions techniques are essential for wireless networks, as battery powered wireless hosts have limited energy. Hence energy aware techniques with power saving mechanisms are restored to conserve energy of nodes in wireless networks. Power based connectivity is an ad-hoc implements power control mechanisms to enhance network life by improving throughput, cost effective routes and spatial reuse. This study proposes hybrid optimization for “Medium Access Control (MAC)” protocol to implement coordination functions and power control mechanisms. Hybrid optimization is based on “Genetic Algorithm (GA)” and “Gravitational Search Algorithm (GSA)”. Findings: Experiments with hybrid optimization are compared to GA fuzzy rules and Fuzzy methods. The result reveal that two hop power control with GA fuzzy logic method lowers route discovery time, increases cache replies, minimizes simulation time and end to end delay in contrast to DSR routing and two hop routing protocols. Application/Improvements: The new hybrid GA-GSA has a throughput of 8.89% and 1.62% and low end to end delay of 13.66% and 2% compared to Fuzzy and GA based Fuzzy respectively.Keywords
DSR Routing, Fuzzy Logic, Genetic Algorithm (GA), Gravitational Search Algorithm (GSA), Medium Access Control (MAC).- A QoS improvement in P2P based Wireless Mesh Network using Hybrid Swarm Intelligence
Abstract Views :151 |
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Authors
Affiliations
1 Jawaharlal Technological University, kakinada - 533003, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal - 518501, Andhra Pradesh, IN
3 Electrinics and Communication Engineering Department, Jawaharlal Technological University, kakinada - 533003, Andhra Pradesh, IN
1 Jawaharlal Technological University, kakinada - 533003, Andhra Pradesh, IN
2 Santhiram Engineering College, Nandyal - 518501, Andhra Pradesh, IN
3 Electrinics and Communication Engineering Department, Jawaharlal Technological University, kakinada - 533003, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 9, No 36 (2016), Pagination:Abstract
Background/Objectives: The objective of this work is to improve efficient resource sharing in a Peer to Peer based Wireless Mesh Network using Hybrid Swarm Intelligence approach. Methods/Analysis: It is difficult to maintain a stable Distributed Hash Table (DHT) in a wireless environment due to frequent node mobility, multi-hop nature, link quality etc., The QoS parameters such as Packet Delivery Ratio (PDR), End to End Delay, Network Load, No. of hops to look up etc are severely affected by node mobility when structured peer to peer algorithm such as chord is applied in a muli-hop environment like wireless mesh network. The proposed method takes link quality, End to End delay, PDR, Query response time into consideration to improve the performance of chord. We have employed meta-heuristic algorithms such as Particle Swarm Optimization (PSO), FireFly algorithm (FF), a hybrid of PSO-FF to improve the performance of chord when applied over a multi-hop environment. Findings: The simulations are conducted when nodes are static and mobile. The performance of CHORD/PSO-FF is compared with CHORD/PSO and CHORD/FF and results showed improved performance in both the cases. Applications/Improvements: This hybrid approach improved the performance of chord protocol in a wireless mesh network when nodes are static and dynamic.Keywords
Chord, FireFly Algorithm, Hybrid PSO FF, Particle Swarm Optimization, QoS Parameters, Wireless Mesh Network.- Hybrid Genetic Optimization to Mitigate Starvation in Wireless Mesh Networks
Abstract Views :169 |
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Authors
Affiliations
1 JNTUK, Kakinada - 533 003, Andhra Pradesh, IN
2 Department of ECE, Santhiram Engineering College, Nandyal, Kurnool - 518 501, Andhra Pradesh, IN
3 Department of ECE, University College of Engineering, JNTUK, Kakinada - 533 003, Andhra Pradesh, IN
1 JNTUK, Kakinada - 533 003, Andhra Pradesh, IN
2 Department of ECE, Santhiram Engineering College, Nandyal, Kurnool - 518 501, Andhra Pradesh, IN
3 Department of ECE, University College of Engineering, JNTUK, Kakinada - 533 003, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 8, No 23 (2015), Pagination:Abstract
Background/Objectives: The objective of this work is to mitigate starvation in Wireless Mesh Networks (WMNs) being deployed in today's LAN, WAN and Internet topologies by employing a novel optimization method. Methods/Analysis: The QoS performance of WMNs is severely affected by a problem called starvation where nodes that are one-hop away from the gateway monopolize the channel so that far away nodes get starved of channel access. We propose a hybrid genetic algorithmic approach to mitigate starvation in WMNs by dynamic adjustment of contention window of mesh nodes optimally. In this approach, Genetic Algorithm incorporated with Gravitational Search Algorithm is used. Findings: Simulations are conducted using the proposed method for multimedia traffic with AODV as the routing protocol. The performance of the proposed method is compared with priority-based method, pure GA optimization, Fair Binary Exponential Back-off algorithm (FBEB) and IEEE 802.11. The local search capability of GSA incorporated in our proposed method improves the throughput by 24.64% than priority-based method and by 3.56% than pure GA optimization. In our approach, we observed a significant decrease in end-to-end delay compared to pure GA optimization. Improvement in fairness is found along one-hop, two-hop and three-hop nodes when compared with FBEB. The FBEB algorithm adjusts the CW size by indirectly estimating the traffic in communication medium leading to lesser throughput whereas our proposed method changes the CW size dynamically based on QoS parameters of network nodes leading to improvement in throughput. The proposed method increases throughput by 5.10% than IEEE 802.11 and by 1.25% than FBEB at one-hop. The proposed method increases throughput by 66.67% than IEEE 802.11 and by 22.61% than FBEB at two-hop. Application/Improvement: Our hybrid Genetic optimization method improves QoS performance of Wireless Mesh networks by avoiding throughput imbalances among users and reducing end-to-end delay effectively.Keywords
Contention Window, Genetic Algorithm, Gravitational Search Algorithm, Starvation, Wireless Mesh Networks.- Hierarchical Content Resource Discovery and Caching via Replication in Wireless Mesh Networks
Abstract Views :142 |
PDF Views:1
Authors
Source
International Journal of Innovative Research and Development, Vol 1, No 6 (2012), Pagination: 334-350Abstract
In building next generation fixed wireless broadband networks, Wireless Mesh Networks (WMNs) have emerged as an important technology which provides low cost Internet access for fixed and mobile users. Peer-to-Peer (P2P) applications such as P2P file sharing have taken vertical rise with the evaluation of an orthogonal in computer networking. It is of interest to enable effective P2P file sharing in this type of networks. Herewith we contribute innovative schemes for content caching and replication at mesh routers that enhance the performance of P2P file sharing in WMNs. Initially we will display the impact of caching P2P content at mesh routers on the performance of P2P file sharing In WMNs. Later we demonstrate the design and operation of our content caching and replication sehemes, At the end we compare the performance of our proposed schemes against other existing schemes using simulations. The proposed schemes will support other applications also, though we focus on P2P file sharing.- A Survey work on Early Detection methods of Melanoma Skin Cancer
Abstract Views :159 |
PDF Views:0
Authors
Affiliations
1 Dept. of ECE, JNTUA, Ananthapuramu, AP, IN
2 Santhiram Engineering College, Nandyal, AP, IN
1 Dept. of ECE, JNTUA, Ananthapuramu, AP, IN
2 Santhiram Engineering College, Nandyal, AP, IN
Source
Research Journal of Pharmacy and Technology, Vol 12, No 5 (2019), Pagination: 2589-2596Abstract
Melanoma is the most dangerous form of skin cancer and is responsible for more than 70 percent of skin cancer deaths. Melanomas develop from malignant melanocytes. Based on the years lost to cancer, melanoma would merit a higher ranking because relatively young people are affected by this malignancy. Melanoma is usually diagnosed in patients of a relatively young age; overall, the total number of patients suffering from melanoma is accumulating. Consequently, the total burden of melanoma is assumed to be increasing among Caucasian populations. As the overall burden of melanoma is increasing; prognosis strongly depends on the stage at diagnosis; and, most importantly, effective treatments for advanced stages are lacking, there is a high potential benefit for the prevention of melanoma. However, most of the established risk factors for melanoma, such as fair skin type, freckles, light eye color, older age, history of sun burns, clinical atypical nevi, prior melanoma, and family history of melanoma, are not amenable to intervention. Only sun burns and sun exposure are, at least in theory, amenable. Indeed, sun protection measures are part of melanoma prevention programs. In some high risk countries comprehensive sun protection programs have been implemented over a decade ago and sun screen use is widely promoted to the general public. These public health campaigns have increased awareness on skin cancer and the adverse events of excessive sun exposure, but failed to change the sun exposure behavior in the general population. Various researchers have shown their interest in early detection of melanoma and immense amount of work has been provided for the diagnosis of melanoma. In this paper the various methods in the process of early detection were discussed and the merits and demerits of the corresponding methods were present.Keywords
Melanoma, Skin Cancer, Early Detection, Dermoscopy, Skin Lesion, Survey.References
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