List of IEEE NS2 Projects. It Contains the IEEE Projects in the Language NS2 with ieee publication year 2015

1. IEEE 2015 NS2 Projects
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List Link : http://kasanpro.com/projects-list/ieee-2015-ns2-projects
Title :Optimal Scheduling for Multi-radio Multi-channel Multi-hop Cognitive Cellular Networks
Language : NS2
Project Link : http://kasanpro.com/p/ns2/optimal-scheduling-multi-radio-multi-channel-cognitive-cellular-networks
Abstract : Due to the emerging various data services, current cellular networks have been experiencing a surge of
data traffic and already overloaded, thus not able to meet the ever exploding traffic demand. In this study, we first
introduce a Multi-radio Multi-channel Multi-hop Cognitive Cellular Network (M3C2N) architecture to enhance network
throughput. Under the proposed architecture, we then investigate the minimum length scheduling problem by
exploring joint frequency allocation, link scheduling, and routing. In particular, we first formulate a maximal
independent set based joint scheduling and routing optimization problem called Original Optimization Problem (OOP).
It is a Mixed Integer Non-Linear Programming (MINLP) and generally NP-hard problem. Then, employing a column
generation based approach, we develop an ?-bounded approximation algorithm which can obtain an ?-bounded
approximate result of OOP. Noticeably, in fact we do not need to find all the maximal independent sets in the
proposed algorithm, which are usually assumed to be given in previous works although finding all of them is
NP-complete. We also revisit the minimum length scheduling problem by considering uncertain channel availability.
Simulation results show that we can efficiently find the ?-bounded approximate results and the optimal result as well,
i.e., when ? = 0% in the algorithm.
Title :A Novel En-route Filtering Scheme against False Data Injection Attacks in Cyber-Physical Networked Systems
Language : NS2
Project Link :
http://kasanpro.com/p/ns2/en-route-filtering-scheme-false-data-injection-attacks-cyber-physical-networked-systems
Abstract : In Cyber-Physical Networked Systems (CPNS), the adversary can inject false measurements to the
controller through compromised sensor nodes, which not only threaten the security of the system, but also consumes
network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless
sensor networks in the past. However, these schemes either lack resilience to the number of compromised nodes or
depend on the statically configure routes and node localization, which are not suitable for CPNS. In this paper, we
propose a Polynomial-based Compromise-Resilient En-route Filtering scheme (PCREF), which can filter false injected
data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes
and node localization. Particularly, PCREF adopts polynomials instead of MACs (Message Authentication Codes) for
endorsing measurement reports to achieve the resilience to attacks. Each node stores two types of polynomials:
authentication polynomial and check polynomial, derived from the primitive polynomial, and used for endorsing and
verifying the measurement reports. Via extensive theoretical analysis and experiments, our data show that PCREF
achieves better filtering capacity and resilience to the large number of compromised nodes in comparison to the
existing schemes.
Title :Shared Authority Based Privacy-preserving Authentication Protocol in Cloud Computing
Language : NS2
Project Link : http://kasanpro.com/p/ns2/privacy-preserving-authentication-protocol-shared-authority-cloud
Abstract : Cloud computing is emerging as a prevalent data interactive paradigm to realize users' data remotely
stored in an online cloud server. Cloud services provide great conveniences for the users to enjoy the on-demand
cloud applications without considering the local infrastructure limitations. During the data accessing, different users
may be in a collaborative relationship, and thus data sharing becomes significant to achieve productive benefits. The
existing security solutions mainly focus on the authentication to realize that a user's privative data cannot be
unauthorized accessed, but neglect a subtle privacy issue during a user challenging the cloud server to request other
users for data sharing. The challenged access request itself may reveal the user's privacy no matter whether or not it
can obtain the data access permissions. In this paper, we propose a shared authority based privacy-preserving
authentication protocol (SAPA) to address above privacy issue for cloud storage. In the SAPA, 1) shared access
authority is achieved by anonymous access request matching mechanism with security and privacy considerations
(e.g., authentication, data anonymity, user privacy, and forward security); 2) attribute based access control is adopted
to realize that the user can only access its own data fields; 3) proxy re-encryption is applied by the cloud server to
provide data sharing among the multiple users. Meanwhile, universal composability (UC) model is established to
prove that the SAPA theoretically has the design correctness. It indicates that the proposed protocol realizing
privacy-preserving data access authority sharing, is attractive for multi-user collaborative cloud applications.
IEEE 2015 NS2 Projects
Title :Efficient and Cost-Effective Hybrid Congestion Control for HPC Interconnection Networks
Language : NS2

2. Project Link : http://kasanpro.com/p/ns2/efficient-cost-effective-hybrid-congestion-control
Abstract : Interconnection networks are key components in high-performance computing (HPC) systems, their
performance having a strong influence on the overall system one. However, at high load, congestion and its negative
effects (e.g., Head-of-line blocking) threaten the performance of the network, and so the one of the entire system.
Congestion control (CC) is crucial to ensure an efficient utilization of the interconnection network during congestion
situations. As one major trend is to reduce the effective wiring in interconnection networks to reduce cost and power
consumption, the network will operate very close to its capacity. Thus, congestion control becomes essential. Existing
CC techniques can be divided into two general approaches. One is to throttle traffic injection at the sources that
contribute to congestion, and the other is to isolate the congested traffic in specially designated resources. However,
both approaches have different, but non-overlapping weaknesses: injection throttling techniques have a slow reaction
against congestion, while isolating traffic in special resources may lead the system to run out of those resources. In
this paper we propose EcoCC, a new Efficient and Cost-Effective CC technique, that combines injection throttling and
congested-flow isolation to minimize their respective drawbacks and maximize overall system performance. This new
strategy is suitable for current commercial switch architectures, where it could be implemented without requiring
significant complexity. Experimental results, using simulations under synthetic and real trace-based traffic patterns,
show that this technique improves by up to 55 percent over some of the most successful congestion control
techniques.
Title :Joint Power Splitting and Antenna Selection in Energy Harvesting Relay Channels
Language : NS2
Project Link : http://kasanpro.com/p/ns2/joint-power-splitting-antenna-selection
Abstract : The simultaneous wireless transfer of information and power with the help of a relay equipped with multiple
antennas is considered in this letter, where a "harvest-and-forward" strategy is proposed. In particular, the relay
harvests energy and obtains information from the source with the radio-frequent signals by jointly using the antenna
selection (AS) and power splitting (PS) techniques, and then the processed information is amplified and forwarded to
the destination relying on the harvested energy. This letter jointly optimizes AS and PS to maximize the achievable
rate for the proposed strategy. Considering that the joint optimization is according to the non-convex problem, a
two-stage procedure is proposed to determine the optimal ratio of received signal power split for energy harvesting,
and the optimized antenna set engaged in information forwarding. Simulation results confirm the accuracy of the
two-stage procedure, and demonstrate that the proposed "harvest-and-forward" strategy outperforms the
conventional amplify-and-forward (AF) relaying and the direct transmission.
Title :Detectors for Cooperative Mesh Networks With Decode-and-Forward Relays
Language : NS2
Project Link : http://kasanpro.com/p/ns2/detectors-cooperative-mesh-networks-with-decode-forward-relays
Abstract : We consider mesh networks composed of groups of relaying nodes which operate in decode-and-forward
mode. Each node from a group relays information to all the nodes in the next group. We study these networks in two
setups, one where the nodes have complete state information about the channels through which they receive the
signals, and anotherwhen they only have the statistics of the channels. We derive recursive expressions for the
probabilities of errors of the nodes and present several implementations of detectors used in these networks. We
compare the mesh networks with multihop networks formed by a set of parallel sections of multiple relaying nodes.
We demonstrate with numerous simulations that there are significant improvements in performance of mesh over
multihop networks in various scenarios.
IEEE 2015 NS2 Projects