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Abstrak :
[ABSTRAK
Penelitian ini bertujuan untuk melakukan evaluasi metode Network Breathing sebagai suatu rancangan metode konstruksi jaringan yang adaptif pada komunikasi ZigBee. ZigBee merupakan salah satu protokol komunikasi untuk Wireless Personal Area Network (WPAN) yang dibangun di atas standar IEEE 802.15.4. Karakteristik low power dari ZigBee menjadi salah satu alasan utama dalam pemilihan protokol ini. Suatu metode konstruksi jaringan yang adaptif dapat dirancang untuk mendukung karakteristik ini. Metode ini dimaksudkan untuk membentuk topologi jaringan ZigBee yang senantiasa meminimalkan jumlah router ZigBee yang harus aktif. Metode ini akan menghemat konsumsi energi pada jaringan ZigBee dengan membuat router dalam kondisi tidak aktif ketika tidak ada perangkat akhir dalam jangkauan yang harus dilayani. Rancangan metode ini memiliki prosedur implementasi seperti membentuk jaringan yang bernafas, dan memanfaatkan algoritma shortest path Dijkstra untuk menentukan jumlah minimal dan posisi router yang yang harus aktif sesuai dengan posisi keberadaan perangkat akhir yang harus dilayani. Validasi terhadap rancangan metode ini dilakukan dengan tool perangkat lunak simulasi jaringan NS2, yang menunjukkan penghematan konsumsi energi router hingga 87% tanpa mengurangi kinerja throughput dan end-to-end delay pada jaringan.

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ABSTRACT
This work aims to evaluate Network Breathing method as an adaptive network tree construction method for ZigBee communication. ZigBee is a communication protocol for Wireless Personal Area Network (WPAN) which is built on the IEEE 802.15.4 standard. Low power characteristic of ZigBee is one of the main reasons in the selection of this protocol. An adaptive network tree construction method is designed to support this characteristic. The method is intended to form a ZigBee network topology which always minimizes the number of ZigBee routers to be active. This method will save energy consumption by turning the ZigBee routers to sleep condition when there is no end device within range to be served. The design of this method has implementation procedure such that the network topology acts like breathing, and uses Dijkstra shortest path algorithm to determine the minimum number and the position of routers to be active based on the position of the end devices. Validation to the method is carried out using the NS2 network simulator software tools, which shows reducing in router energy consumption up to 87% without degrading the throughput and end-to-end delay performance.;This work aims to evaluate Network Breathing method as an adaptive network tree construction method for ZigBee communication. ZigBee is a communication protocol for Wireless Personal Area Network (WPAN) which is built on the IEEE 802.15.4 standard. Low power characteristic of ZigBee is one of the main reasons in the selection of this protocol. An adaptive network tree construction method is designed to support this characteristic. The method is intended to form a ZigBee network topology which always minimizes the number of ZigBee routers to be active. This method will save energy consumption by turning the ZigBee routers to sleep condition when there is no end device within range to be served. The design of this method has implementation procedure such that the network topology acts like breathing, and uses Dijkstra shortest path algorithm to determine the minimum number and the position of routers to be active based on the position of the end devices. Validation to the method is carried out using the NS2 network simulator software tools, which shows reducing in router energy consumption up to 87% without degrading the throughput and end-to-end delay performance., This work aims to evaluate Network Breathing method as an adaptive network tree construction method for ZigBee communication. ZigBee is a communication protocol for Wireless Personal Area Network (WPAN) which is built on the IEEE 802.15.4 standard. Low power characteristic of ZigBee is one of the main reasons in the selection of this protocol. An adaptive network tree construction method is designed to support this characteristic. The method is intended to form a ZigBee network topology which always minimizes the number of ZigBee routers to be active. This method will save energy consumption by turning the ZigBee routers to sleep condition when there is no end device within range to be served. The design of this method has implementation procedure such that the network topology acts like breathing, and uses Dijkstra shortest path algorithm to determine the minimum number and the position of routers to be active based on the position of the end devices. Validation to the method is carried out using the NS2 network simulator software tools, which shows reducing in router energy consumption up to 87% without degrading the throughput and end-to-end delay performance.]

Abstrak :
This book constitutes the refereed proceedings of the 18th International Conference on DNA Computing and Molecular Programming, DNA 18, held in Aarhus, Denmark, in August 2012. The 11 full papers presented were carefully selected from 37 submissions. The papers are organized in topical sections on advancing the engineering and science of biology and chemistry from the point of view of computer science, physics, and mathematics.

Abstrak :
This book constitutes the thoroughly refereed post-conference proceedings of the 12th International Conference on Membrane Computing, CMC 2011, held in Fontainebleau, France, in August 2011. The 19 revised selected papers presented were carefully reviewed and selected from 27 papers and 5 posters presented at the conference. The book also contains full papers or extended abstracts of the 5 invited presentations. The papers address all the main directions of research in membrane computing, ranging from theoretical topics in the mathematics and computer science to application issues.

Abstrak :
This book constitutes the thoroughly refereed proceedings of the 18th International Conference, Euro-Par 2012, held in Rhodes Islands, Greece, in August 2012. The 75 revised full papers presented were carefully reviewed and selected from 228 submissions. The papers are organized in topical sections on support tools and environments, performance prediction and evaluation, scheduling and load balancing, high-performance architectures and compilers, parallel and distributed data management, grid, cluster and cloud computing, peer to peer computing, distributed systems and algorithms, parallel and distributed programming, parallel numerical algorithms, multicore and manycore programming, theory and algorithms for parallel computation, high performance network and communication, mobile and ubiquitous computing, high performance and scientific applications, GPU and accelerators computing.

Abstrak :
The 10 full and 2 short papers were carefully reviewed and selected from 27 submissions. The papers cover various aspects of programming languages and software engineering.

Abstrak :
This state-of-the-art survey features topics related to the impact of multicore, manycore, and coprocessor technologies in science and for large-scale applications in an interdisciplinary environment. The papers cover issues of current research in mathematical modeling, design of parallel algorithms, aspects of microprocessor architecture, parallel programming languages, hardware-aware computing, heterogeneous platforms, manycore technologies, performance tuning, and requirements for large-scale applications. The contributions presented in this volume offer a survey on the state of the art, the concepts and perspectives for future developments. They are an outcome of an inspiring conference conceived and organized by the editors at the Karlsruhe Institute Technology (KIT) in September 2011. The twelve revised full papers presented together with two contributed papers focus on combination of new aspects of microprocessor technologies, parallel applications, numerical simulation, and software development; thus they clearly show the potential of emerging technologies in the area of multicore and manycore processors that are paving the way towards personal supercomputing and very likely towards exascale computing.