M. Subalakshmi ¹, W. R. Helen ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objective: The main objective of assigning tasks among sensor nodes in wireless sensor network environment is to recuperate the information loss due to network failures and to increase the network life time. Methods: The consummate way for downsizing energy consumption among nodes is to assign the task in an efficacious manner. The renovated version of Binary Particle Swarm Optimization (BPSO) is employed for assigning tasks in WSN. If any task assigned sensor node does not perform its operations, then those are considered as vulnerable nodes which can be pruned away from the network to avoid network failures. Results: In this paper, task assignment, information recuperation and topology permutation are proposed for improving the permanency of the sensor network. The task assignment problem for data recuperation was implemented in TCL language on NS2 running under windows environment. To gauge the adequacy and viability of this framework, results are compared with a technique that does not involve data recovery in its implementation. In the proposed system, the calculated execution time subtracts the execution time of the vulnerable sensor node. Subsequently, it minimizes the general execution time and improves the network performance and lifetime relies on upon fluctuating network size and tasks. Thus, the overall lifetime of the WSN and also fault tolerance level of the WSN is augmented. Conclusion: Task execution time, energy utilization and sensor network lifetime are considered in the fitness function to make a legitimate tradeoff among distinctive metrics and get the best overall executionin the fitness function to make a legitimate tradeoff among distinctive metrics and get the best overall execution.

Keywords

Failure Detection, Information Recuperation, Particle Swarm Optimization, Task Assignment, Wireless Sensor Network

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A. Shahina Banu ¹, W. R. Helen ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur-613401, TamilNadu, IN

Abstract

Recent advancement in public cloud allow the providers to rapidly diversify their products and pricing plans. To increase cloud provider’s profit ,tasks are outsourced from internal cloud to External Cloud (EC). The main objective is to maximize the internal cloud utilization and minimize the cost of outsourced task to external cloud. This problem is formulated as an integer programming model and is solved using cuckoo driven Particle Swarm Optimization (CS-PSO) approach. This perform the local search more efficiently and it avoids the local optima problem of PSO. The task utilization runtime and the cost for each task is calculated using cloudsim simulator. Experimental results shows that the average profit obtained by this approach is higher than the standard PSO and Self adaptive Learning PSO (SLPSO) for problems of non trivial size.

Keywords

Cuckoo Search, External Cloud (EC), Hybrid Cloud, Local Optima, Particle Swarm Optimization (PSO)

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A. Aravind ¹, W. R. Helen ¹

Affiliations
1 School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN

Abstract

Objectives: To embed security inVehicle Ad-Hoc Network(VANET). Methods: Anonymous authentication is achieved using group signature. The current authentication scheme involves a long delay while searching for a particular certificate in the Certificate Revocation List (CRL) and the message security is not ensured. Hence the scheme will not meet the requirement of security in VANETs. Findings: In the proposed scheme, a general authentication scheme is constructed for Vehicular Ad-hoc Network (VANETs) to overcome the aforementioned problem. Road Side Unit (RSA) serves the purpose of allocating the generated public key to the vehicles who come within their communication range. HMAC is deployed to replace the time consuming CRL and the security of the message is ensured using cryptographic algorithm. Application: Vehicle to Vehicle, Vehicle to Road Side Unit.

Keywords

Certificate Revocation List, Hash Message Authentication Code, Mutual Authentication, Vehicle Ad-hoc Network.

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