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Ramkumar, J.

Query Aware Routing Protocol for Mobility Enabled Wireless Sensor Network

Abstract Views :80 | PDF Views:2

Authors

M. Lingaraj ¹, T. N. Sugumar ², C. Stanly Felix ², J. Ramkumar ³

Affiliations
1 Department of Computer Science, Sankara College of Science and Commerce, Coimbatore, Tamil Nadu, IN
2 Department of Computing, Coimbatore Institute of Technology, Coimbatore, Tamil Nadu, IN
3 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN

Source

International Journal of Computer Networks and Applications, Vol 8, No 3 (2021), Pagination: 258-267

Abstract

Mobility Enabled Wireless Sensor Network (MEWSN) plays a significant role in different fields including environmental control, traffic control and healthcare. The performance of MEWSN is dependent not only on sensing but also on routing. Multiple research works are carried out by different researchers in the domain of routing in MEWSN, but still the performance of MEWSN gets lacked. Poor routing is the ischolar_main cause for the performance degradation of MEWSN. In this paper, a new routing protocol namely Query Aware Routing Protocol (QARP) is proposed to balance the load in MEWSN to prevent congestion and exhausted power utilization. Normal routing protocols either seek to match load or route, but both are considered in QARP. Also, identified routes are classified based on an enhanced relevant vector machine classification algorithm which assists in minimizing the delay and energy consumption. Using NS2, QARP is evaluated against previous routing protocols with standard performance metrics namely throughput, delay, packet delivery ratio and energy consumption. The packet delivery ratio achieved by QARP is 92.6%, where the existing routing protocols IFLIP and PARP has achieved 62.8% and 75.4% respectively.

Keywords

WSN, MEWSN, Routing, Query, Load, Congestion.

Full Text

References

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J. Ramkumar and R. Vadivel, “Performance Modeling of Bio-Inspired Routing Protocols in Cognitive Radio Ad Hoc Network to Reduce End-to-End Delay,” Int. J. Intell. Eng. Syst., vol. 12, no. 1, pp. 221–231, 2019, doi: 10.22266/ijies2019.0228.22.

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Preliminary Study on the Performance of Mallada boninensis (Okamoto) against Aleurocanthus woglumi Ashby on Citrus

Whale Optimization Routing Protocol for Minimizing Energy Consumption in Cognitive Radio Wireless Sensor Network

Abstract Views :95 | PDF Views:1

Authors

J. Ramkumar ¹, R. Vadivel ²

Affiliations
1 Department of Computer Science, VLB Janakiammal College of Arts and Science, Coimbatore, Tamil Nadu, IN
2 Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, IN

Source

International Journal of Computer Networks and Applications, Vol 8, No 4 (2021), Pagination: 455-464

Abstract

Cognitive Radio Wireless Sensor Networks (CR-WSN) works on nodes that are dependent on batteries. A critical problem with CR-WSN is a lack of energy, especially in situations such as warfare where rapid and aggressive action is needed. The battery level of nodes degrades CR-WSN performance. Researchers face significant difficulty developing a routing protocol for CR-WSN, and that obstacle is posed by energy consumption to deliver a packet. A substantial number of nodes reside in CR-WSN. Every node in CR-WSN is constrained by battery. To minimize network cost, it should be feasible to have the routing protocol used for CR-WSN to be energy efficient. This paper proposes an optimization-based routing protocol, namely Whale Optimization Routing Protocol (WORP), for identifying the best route in CR-WSN to minimize the delay and lead to network efficiency. WORP draws inspiration from the behaviors of whales as they forage, similar to their hunting activity. By prioritizing residual energy and the total energy of the nodes in the route, WORP encourages energy-aware route selection. WORP is examined via simulation with NS2 against current routing protocols. Benchmark performance metrics are used to assess the effectiveness of WORP. Results make an indication that WORP has superior performance than current routing protocols in CR-WSN.

Keywords

WSN, CR-WSN, Routing, Optimization, Delay, Energy Consumption.

Full Text

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M. Lingaraj, T. N. Sugumar, C. Stanly Felix and J. Ramkumar, "Query Aware Routing Protocol for Mobility Enabled Wireless Sensor Network", International Journal of Computer Networks and Applications (IJCNA), vol. 8, no.3, pp. 258-267, 2021. https://doi.org/10.22247/ijcna/2021/209192.

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MIAS Based on Kleinberg HITS Algorithm in E-Services

RBAC Framework for Web Based Services in Work Flow Foundation

Abstract Views :105 | PDF Views:2

Authors

J. Ramkumar ¹

Affiliations
1 Computer Science and Engineering, Anna University of Technology, Coimbatore, Tamilnadu, IN

Source

Data Mining and Knowledge Engineering, Vol 3, No 7 (2011), Pagination: 392-397

Abstract

In the business process, Work Flow foundation supports windows environment and control the order in which the pages shown. Then the individual Web pages services are integrated using Work Flow and invoke those services, knitting them together into a composite application. Based on role provisioning, the employees are allowed inside the organization and services are initiated. We used two protocols (Aggregate Zero Knowledge Proof Knowledge and Oblivious Commitment Protocols) to choose an appropriate person to a particular role. Enforcement point act as server to provide services to work and provide security based on Cryptographic algorithm and other xml language (authentication access).
In this approach, alternate BPEL process is Workflow Foundation with RSA algorithm with 1024 bits is used. XACML is used to provide and strengthened the security level of the business organization. These changes provide flexibility and services in less expensive manner.

Keywords

Aggregate Zero Knowledge Proof Knowledge, Oblivious Commitment Based Envelope, Extensible Access Control Markup Language.

Full Text

RBAC Framework Based on XACML Policy in WS-BPEL Process

Abstract Views :88 | PDF Views:5

Authors

J. Ramkumar ¹

Affiliations
1 M.E. Department of Computer Science and Engineering, Anna University of Technology, Coimbatore, IN

Source

Data Mining and Knowledge Engineering, Vol 3, No 1 (2011), Pagination: 33-38

Abstract

In WS-BPEL process, Extensible Access Control Markup Language (XACML) is used as an authenticated tool to provide several services for an employee in an organization. There are several policies (XACML) used as an access control in Web Services. XACML policy as RBAC profile to support role based access controls policies. In an organization, there are several roles assigned to an employee based on their attributes. The attributes are used as an authenticating tool to assign the role and perform the task. The identity attributes are used for role provisioning policies to a particular employee i.e. social security number, date of birth, etc. are assigned as an identity attributes. In this aggregate zero knowledge proof knowledge (AgZKPK) and Oblivious commitment based envelope (OCBE) protocols are used during service (information) sharing between employees and to make it more flexible. This process may provide privacy to the user information and support multi-domain environment.

Keywords

Aggregate Zero Knowledge Proof Knowledge, Pederson Commitment, Role Based Access Control, Security.

Full Text

Constrained Cuckoo Search Optimization Based Protocol for Routing in Cloud Network

Abstract Views :76 | PDF Views:1

Authors

J. Ramkumar ¹, R. Vadivel ², B. Narasimhan ³

Affiliations
1 PG and Research Department of Computer Science, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN
2 Department of Information Technology, Bharathiar University, Coimbatore, Tamil Nadu, IN
3 Department of Computer Technology, Dr. N.G.P. Arts and Science College, Coimbatore, Tamil Nadu, IN

Source

International Journal of Computer Networks and Applications, Vol 8, No 6 (2021), Pagination: 795-803

Abstract

Cloud Computing (CC) is the process of providing on-demand data to the user via the internet. In CC, users don't need to manage data storage and computational power actively. Finding the best route in a cloud network is entirely different from other general networks which it is due to high scalability. Protocols developed for other general networks will never suit or give better performance in cloud networks due to its scalability. This paper proposes a bio-inspired protocol for routing in a cloud network, namely Constrained Cuckoo Search Optimization-based Protocol (CCSOP). The routing strategy of CCSOP is inspired by the natural characteristics of the cuckoo bird towards finding a nest to lay its eggs. Levy Flight concept is applied with different constraints to enhance optimization performance towards finding the best route in a cloud network that minimizes energy consumption. CCSOP is evaluated in Greencloud using benchmark network performance metrics against the current routing protocols. The efficacy of CCSOP is evaluated using benchmark performance measures. CCSOP appears to outperform current cloud network routing protocols in terms of energy consumption.

Keywords

Cuckoo, Cloud, Energy, Flight, Levy, Optimization, Routing, Scalability.

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Improved Wolf Prey Inspired Protocol for Routing in Cognitive Radio Ad Hoc Networks

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Authors

J. Ramkumar ¹, R. Vadivel ²

Source

International Journal of Computer Networks and Applications, Vol 7, No 5 (2020), Pagination: 126-136

Abstract

Fifth Generation (5G) technology has started providing the brand new facilities to the mobile communication world. With its enhanced performance and scalability, it has attracted many domains. Routing overhead in 5G networks is increased rapidly because of the complexity present in the route discovery process, where optimization in routing. Poor routing becomes a sophisticated and dynamic challenge in the 5G network. Hence, there exists a need for finding the best route in an optimized manner. This paper proposes an Improved Wolf Prey Inspired Protocol (IWPIP) for finding the ideal route in the dynamic environment like 5G based cognitive radio ad-hoc network. IWPIP focuses on finding the ideal route based on the reliability of route, shorter distance, and shorter hops that minimize the consumption of energy to increase the network lifetime. Before sending the data packets, routes are evaluated using a fitness function. IWPIP's efficiency has been demonstrated through comprehensive simulation, which resulted in promising outcomes in terms of throughput, packet delivery and drop ratio, delay, and energy consumption.

Keywords

Optimization, Routing, Bio-Inspired, Energy, Delay, Cognitive Radio Ad Hoc Networks, Wolf Prey Inspired Protocol.

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Ramkumar, J.

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Improved Wolf Prey Inspired Protocol for Routing in Cognitive Radio Ad Hoc Networks

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