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This paper introduces a new innovation for the analytical model to improve the throughput performance and energy efficiency for ideal channel conditions by the integration which challenges both fountain code and Markov chain modeling. In this context, the energy consumption is a critical resource that can be saved by minimizing the number of transmissions to be performed in the network. Channel contention...
Energy efficient cognitive radio networks can simultaneously improve spectrum efficiency (SE) and energy efficiency (EE) of wireless communication networks. This paper studies energy efficient spectrum sensing interval, spectrum sensing energy and transmit power allocation scheme of the secondary user (SU) in CR networks. The EE maximization problem subject to the transmit power constraint and average...
An important challenge of modern data centres running Hadoop workloads is to minimise energy consumption, a significant proportion of which is due to the network. Significant network savings are already possible using Energy Efficient Ethernet, supported by a large number of NICs and switches, but recent work has demonstrated that the packet coalescing settings must be carefully configured to avoid...
In this paper, we present an ant colony optimization (ACO) based Bayesian learning which optimizes the transmission energy efficiency for a multi-user multi-carrier communication system. The ACO algorithm is inspired by the swarm behavior of ants — sharing out the work and helping one another, which is a kind of Bayesian learning. The resource allocation problem in a multi-user multi-carrier system...
With the advent of Internet of Things IoT, it is expected that the growth of Wireless Sensor Networks WSN will increase exponentially as it provides a medium for IoT to sense the real-world environment. The increase on the number WSN nodes will result in deteriorating performance at Medium Access Control MAC layer. This paper provides a review on the recent applications of Machine Learning to improve...
In this paper, cognitive machine to machine (CM2M) gateway in e-healthcare systems are presented by accessing several channels via periodic sensing and spectrum handoff. An optimal energy efficient spectrum management mechanism with multiple thresholds is proposed. The developed mechanism aims to reduce energy consumption in the system by optimizing the spectrum sensing and channel switching, while...
In this paper the performance analysis of a routing algorithm for MANETs called Service Zone Gateway Prediction (SZGP) is presented. This is a non-cooperative and hybrid type of routing with a hierarchical multilayered structure, incorporating pre-computed multipath hop-by-hop distributed connectivity. The goal is balance of the load among the nodes and reliable and energy efficient communication...
Energy is a scarce resource in mobile ad hoc networks (MANETs). Network coding (NC) has been proposed recently as a means to reduce the number of transmissions and energy consumption. In this paper, we introduce energy consumption control into network coding to further enhance its performance. We propose a Sliding Window Network Coding for Energy Efficient in MANETs (SWNC-EE). The performance of the...
Energy efficient routing and increasing throughput is a challenging task in fully connected wireless ad hoc networks. In this research adaptive energy strategy using snooze / snoop duty cycle technique is employed in order to reduce the energy consumption of nodes that are present in the network. The MAC modification is carried out with the help of the channel state metric. AOMDV routing strategy...
Content caching is an efficient technique to reduce delivery latency and system congestion during peak-traffic times by bringing data closer to end users. Existing works consider caching only at higher layers separated from physical layer. In this paper, we study wireless caching networks by taking into account cache capability when designing the signal transmission. In particular, we investigate...
A WSN consists of large number of small power units called nodes that perform the operation of sensing, data collection, computation, compression, transmission. Recently there has been much stress on improvements in WSNs by designing new techniques and approaches for achieving energy efficiency and improved lifetime. Since the network is constrained in terms of capabilities of power, energy, computation...
In this paper, energy efficient transmit antenna selection in underlay cognitive radio (CR) multiple-input multiple-output (MIMO) systems from a cross layer perspective, is investigated. Conventional energy efficient antenna selection optimizes an energy efficiency (EE) metric defined in terms of the system capacity and energy consumption, making it a physical layer criterion. In this work, we propose...
RISC-V is a new open-source general-purpose instruction set architecture (ISA) developed by the University of California, Berkeley. It allows everyone to design their hardware circuits based on application characteristics and can be used in embedded devices, desktop computer and high-performance servers. In this paper, we use the RISC-V processor to design a fast network packet processing system....
Recently, the concept of heterogeneous networks (HetNets) has been proposed as an alternative solution to provide higher coverage and capacity for cellular networks. In HetNets concept, many of small base stations (SBSs) are employed in the existing cell of macro base stations (MBSs) to increase the coverage and system capacity. However, the employment of many SBSs in the existing macro cells would...
Coordinated Multi-Point (CoMP) is considered as one of the most important techniques in 3GPP LTE/LTE-A. In CoMP, several base stations can be grouped together to form the cooperating set, where the cooperating set is used to improve the system throughput as well as the throughput of cell edge users. Most of the studies discussed how to relieve the overload condition or maximize the system throughput...
This paper presents a Non-Binary LDPC decoder with information throughput of 2.267Gbps and power consumption of 212.4mW, yielding an energy efficiency of 93.7pJ/b, implemented in a 40nm CMOS technology. The employed code is long and high-rate without degree-2 variable nodes, resulting in a low error floor. A dual decoding algorithm scheme alleviates the computational complexity of decoding, realized...
A lack of energy proportionality, low resource utilization, and interference in virtualized infrastructure make the cloud a challenging target environment for improving energy efficiency. In this paper we present OptiBook, a system that improves energy proportionality and/or resource utilization to optimize performance and energy efficiency. OptiBook shares servers between latency-sensitive services...
Modeling of Underwater Wireless Sensor Networks (UWSNs) with a goal of maximum network lifetime and throughput with minimum energy consumption is a quite difficult task because of limited battery power and harsh underwater environment. Balanced Energy Efficient Rectangular routing protocol (BEER) covers the maximum network area with the mobility of sinks and collects the data from sensor nodes in...
Most large popular web applications, like Facebook and Twitter, have been relying on large amounts of in-memory storage to cache data and offer a low response time. As the main memory capacity of clusters and clouds increases, it becomes possible to keep most of the data in the main memory. This motivates the introduction of in-memory storage systems. While prior work has focused on how to exploit...
In this paper, we investigate the energy efficiency (EE) and spectral efficiency (SE) tradeoff in multi-cell heterogeneous networks (HetNets). Our objective is to maximize both EE and SE of the network while satisfying the rate requirement of users. We use multi-objective optimization techniques to define the objective function. We propose a three-stage algorithm in this paper. First, we select the...
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