Tactical approach to identify and quarantine spurious node participation request in sensory application

Securing Wireless Sensor Network (WSN) from variable forms of adversary is still an open end challenge. Review of diversified security apprroaches towards such problems that they are highly symptomatic with respect to resiliency strength against attack. Therefore, the proposed system highlights a novel and effective solution that is capable of identify the spurios request for participating in teh network building process from attacker and in return could deviate the route of attacker to some virtual nodes and links. A simple trust based mechanism is constructed for validating the legitimacy of such request generated from adversary node. The proposed system not only presents a security solution but also assists in enhancing the routing process significantly. The simulated outcome of the study shows that proposed system offers significantly good energy conservation, satisfactory data forwarding performance, reduced processing time in contrast to existing standard security practices

Fuzzy Based Packet Dropping Scheme in Wireless Cellular Networks

Wireless multimedia networks are becoming very popular owing to the user demands for multimedia services. Packet dropping in the event of buffer congestion is one of the important issue in wireless multimedia networks. A packet dropping scheme has to be flexible and adaptive such that acceptable quality of an application is maintained. The paper presents a fuzzy based packet dropping scheme for wireless multimedia networks. A buffer manager placed at the base station performs packet dropping depending upon the traffic conditions and type of an application. Packet dropping is performed by computing dropping factor by considering packet priority, queue length and adaptive queue length threshold. The adaptive queue length threshold is used to dynamically adjust the dropping factor. The queue length threshold is varied by using two fuzzy input parameters, channel condition and rate of flow of an application. The scheme has been extensively simulated to test the performance in terms of acceptance and dropping probability of real-time handoff and new calls

Neural embedded smart link generation scheme for heterogeneous network

The Long Term Evolution (LTE) network is a very much popular network in heterogeneous network. Heterogeneous networks provide maximum data rate by integrating various technologies and channels, based on appropriate network selection. For the sensible data transmission in the LTE network, noise plays an vital role as channel is a free space. The minimum noise channel selection is a decision of present and previous status of network channel. Proposed scheme develop neural network model, which will act as a smart link generation scheme for computing minimum noise channel path for sensible data transmission. Hence, proposed scheme will improve performance of the network. Result indicates that, proposed scheme improves throughput and system reliability. Proposed scheme is also reduces packet loss rate and energy consumption in contrast with conventional techniques

MOBILE CLOUD COMPUTING: A SURVEY OF RESEARCH ISSUES& CHALLENGES

Mobile cloud computing (MCC) is a highly promising trend for the future of mobile computing. Mobile Cloud Computing Platform promises to be beneficial to both individual mobile device users and enterprises. We know that mobile devices are constrained by their processing power, battery life and storage. However, cloud computing provides an illusion of infinite computing resources. As with the cloud computing, most of the power of infrastructure, processing, data storage resides outside the mobile device. While mobile devices have the ingenuously made mobile apps within them, they rely on powerful outside cloud sources to process and deliver the requirement. In a typical cloud computing scenario involving IaaS, PaaS, SaaS, a PC acts as a client to make use of the cloud with a connectivity solution; in this case, the internet. With Mobile internet usage ever increasing, MCC is expected to be the next big thing

A survey on Vehi-cloud Computing Networks (VCCN) its research issues and challenges

Vehicular Clouds (Vehi-cloud) are envisioned and most likely to be incorporated in future development with the help of existing vehicular adhoc networks (VANET’s) to access value added services, location based services, traffic analysis and road safety Supplications, conventional clouds are fixed data centric, due to high mobility of vehicles the communication between stationary (road side) clouds and vehicles and inter-vehicle communication becomes heterogeneous and challenging to compute remote execution of data-intensive tasks during run-time which needs dynamic offloading and resource provisioning schemes and a need for efficient Vehi-Cloud operational model to proffer better QoS requirements with minimum service latency and service cost. In this article we unveil a brief survey of vehicle cloud computing networks and highlighted its research issues which have worked on it and challenges to be met

Mobile Cloud Computing: A Survey of Research Issues Challenges

Mobile cloud computing (MCC) is a highly promising trend for the future of mobile computing. Mobile Cloud Computing Platform promises to be beneficial to both individual mobile device users and enterprises. We know that mobile devices are constrained by their processing power, battery life and storage. However, cloud computing provides an illusion of infinite computing resources. As with the cloud computing, most of the power of infrastructure, processing, data storage resides outside the mobile device. While mobile devices have the ingenuously made mobile apps within them, they rely on powerful outside cloud sources to process and deliver the requirement. In a typical cloud computing scenario involving IaaS, PaaS, SaaS, a PC acts as a client to make use of the cloud with a connectivity solution; in this case, the internet. With Mobile internet usage ever increasing, MCC is expected to be the next big thing