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Congestion control and avoidance inWireless Sensor Network has becoming the major area of concern in research. This is because the congestion in the network can create various issues like more energy consumption, loss of packets, more delay, less packet delivery ratio and hence low throughput. If the congestion is avoided then these parameters can be easily controlled. Controlling the congestion,...
Execution time is no longer the only performance metric for computer systems. In fact, a trend is emerging to trade raw performance for energy savings. Techniques like Dynamic Power Management (DPM, switching to low power state) and Dynamic Voltage and Frequency Scaling (DVFS, throttling processor frequency) help modern systems to reduce their power consumption while adhering to performance requirements...
Data collection and transmission are the fundamental operations of Wireless Sensor Networks (WSNs). A key challenge in effective data collection and transmission is to schedule and synchronize the activities of the nodes with the global clock. This paper proposes the Bandwidth Efficient Hybrid Synchronization Data Aggregation Algorithm (BESDA) using spanning tree mechanism (SPT). It uses static sink...
Traditional synchronous systems relied on a global clock to maintain synchronization have incurred problems in worst-case performance and power consumption. A self-timed system that does not depend on a global clock is one of the high-caliber candidates to solve such problems. In this paper, a probabilistic self-timed system model is studied, on which task execution time is represented by a random...
In this paper, we attempt to improve the efficiency of random access employed for a massive number of energy-constrained M2M devices to transmit their data to a base station (BS) by exploiting relaying and interference cancellation (IC). Each device transmits a single packet with a minimum required power, which is then forwarded by surrounding relay(s) to derive a benefit of IC at BS. While IC can...
Typically in computer systems, performance must be traded-off to achieve energy savings or, conversely, performance gains come with significant energy overhead. Here, we present a novel approach that can achieve synergistic energy-savings and performance gain in chip multiprocessors (CMPs). Our key observation is that per-core dynamic voltage/frequency scaling (DVFS) can be used as a client regulation...
Many applications of wireless sensor networks (WSNs) need to balance multiple yet often conflicting performance requirements such as high energy efficiency, high throughput, low delay and low loss. Finding appropriate WSN parameter configuration to achieve the best trade-off requires in depth understanding of the joint effect of key parameters residing at different layers on the performance. In this...
In this paper, we propose Floating Band D2D, an adaptive framework to exploit the full potential of Device-to-Device (D2D) transmission modes. We show that inband and outband D2D modes exhibit different pros and cons in terms of complexity, interference, and spectral efficiency. Moreover, none of these modes is suitable as a one-size-fits-all solution for today's cellular networks, due to diverse...
Cognitive Radio (CR) with the capability of discovering the unused spectrum promises higher spectrum efficiency - a pressing requirement for 5G networks. However, CR owes this capability to power-hungry tasks, most particularly to spectrum sensing. Given that advances in battery capacity has a slower pace compared to advances in device capabilities and traffic growth, it is paramount to develop energy-efficient...
The rapidly increasing penetration of smart phones and the associated exponential growth in the wireless data traffic result in an increasing energy consumption and, consequently, greater carbon dioxide (CO2) emissions. However, on account of operational costs and environmental worries, this increase should be taken into consideration for future cellular networks evolution. In this paper, we study...
The increasing network speeds, number of attacks, and need for energy efficiency are pushing software-based network security to the limit. A common kind of threat is probing attacks, in which an attacker tries to find vulnerabilities by sending many probe packets to a target machine. In this paper, we evaluate three machine learning classifiers (Decision Tree, Naive Bayes, and k-Nearest Neighbors),...
Opportunistic networking (a.k.a. device-to-device communication) is considered a feasible means for offloading mobile data traffic. Since mobile nodes are battery-powered, opportunistic networks must be expected to satisfy the user demand without greatly affecting battery lifetime. To address this requirement, this work introduces progressive selfishness, an adaptive and scalable energy-aware algorithm...
Reducing energy consumption over mobile networks and devices is an important and challenging issue. On the one hand, power is a limited resource on mobile devices and its usage should be optimized. On the other hand, energy consumption constitutes an important item within operating expenditure (OPEX) for network providers. In the literature, many studies are dedicated to evaluate scheduling mechanisms...
Recent advances in three dimensional integrated circuits have enabled vertical stacks of memory to be integrated with an FPGA layer. Such architectures enable high bandwidth and low latency access to memory which is beneficial for memory-intensive applications. We build a performance model of a representative 3D Memory Integrated FPGA architecture for matrix multiplication. We derive the peak performance...
Error correcting codes are an unavoidable element in digital communication. Turbo codes are a class of error correcting codes that have been considered for energy constrained wireless communication applications. This paper mainly focuses on the analysis of an efficient turbo encoder in digital communication. The implementation of turbo encoder is performed by using both flip flop and finite state...
An increasing number of internet connected devices access large multimedia files over the Internet. Therefore, the bandwidth demand is exponentially increasing. To satisfy users’ demands, multi-band wireless routers, which simultaneously support several bands, are developed. However, current multiband routers do not attempt to maximize the utilization of frequency bands nor consider the energy consumption...
Underwater environment suffers from a number of impairments which effect reliability and integrity of data being transmitted. Cooperative transmission is well known for reliable data transfer. Hence, cooperative routing can be implemented in Underwater Wireless Sensor Networks (UWSNs) in order to reduce the impact of existing link impairments on transmitted data. Cooperative routing involves data...
Underwater communication has become a popular research area because of many applications such as oceanography data collection, ocean exploration, undersea navigation, and control of autonomous underwater vehicles (AUVs). Since electromagnetic wave communication does not propagate well in underwater, long communication ranges are only possible through the use of acoustic waves. Acoustic communication...
Cooperative routing is a promising technique which exploits the broadcast nature of wireless medium to enhance network performance. Sensor nodes simultaneously transmit their data on different links and utilize cooperation between nodes. In this paper, a new protocol, Co-CEStat, Cooperative Critical data transmission in Emergency for Static Wireless Body Area Networks, is proposed. The protocol utilizes...
This paper presents Incremental relay-based Co-CEStat protocol for Wireless Body Area Networks (InCo-CEStat). This protocol is proposed to enhance the performance of Cooperative Critical data transmission in Emergency for Static Wireless Body Area Networks (Co-CEStat) and Advanced Co-CEStat (ACo-CEStat). Proposed protocol utilizes the merits of both direct and cooperative transmission to achieve reliable...
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