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Optimization framework for distributed clustering scheme in wireless sensor networks

Optimization framework for distributed clustering scheme in ...

引用

SNPD 2007: 8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

作者： Yongxuan, Lai Xiaobo, Fan Hong, Chen Tingting, Xie School of Information Renmin University of China Beijing Key Laboratory of Data Engineering and Knowledge Engineering MOE

ISBN: (纸本)0769529097

Recently there have been growing interests in the applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach and data gathering protocol in wireless sensor networks. In this paper, we propose a novel optimization framework called MICA (MICa Adjustments) for clustering scheme in wireless sensor networks. MICA takes the cluster as a whole, and dynamically adjusts the clusters according to the real-lime workload of the local clusters to balance energy consumption among clusters. The adjustments can also deal with link failures. Simulation results show that MICA can be easily embedded into existing clustering schemes to balance the energy consumptions among the clusters, and to prolong the lifetime of wireless sensor networks. © 2007 IEEE.

关键词： Wireless sensor networks

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Proceedings SNPD 2007: Eighth AGIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

Proceedings SNPD 2007: Eighth AGIS International Conference ...

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SNPD 2007: 8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

ISBN: (纸本)0769529097

The proceedings contain 542 papers. The papers discussed include: research on threshold denoising of FPRGA;study on heuristic algorithm for dynamic scheduling problem of earth;lifetime optimized methods of correlated data gathering on sensor networks;coverage-preserving data gathering in wireless sensor networks;tasks allocation for real-time applications in heterogeneous sensor networks;communication optimization algorithms based on extend data flow graph;study on distributing pattern of shared data in CC-NUMA system;a novel algorithm for load balancing in distributed systems;a replication and cache based metadata management system for data grid;new synchronization scheme between audio and video;a new scheme for off-line signature verification using DWT and fuzzy net;and new kind of hybrid filter based on the peak-and-valley filter and PCNN.

关键词： Heuristic algorithms

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Issue of event sequence in time of distributed Intrusion Detection System

Issue of event sequence in time of Distributed Intrusion Det...

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IFIP international conference on Network and parallel computing

作者： Lin Guoyuan Huang Hao Cao Tianjie Nanjing Univ Dept Comp State Key Lab Novel Software Technol Nanjing 210093 Peoples R China China Univ Mining & Technol Sch Comp Xuzhou 221008 Peoples R China

ISBN: (纸本)9780769529431

distributed Intrusion Detection System (DIDS) is one of important devices for information security. In this field, how to improve detection rate is one of key issues. In this paper, the importance of event sequence in time is presented. Then, we discuss three factors, i.e. timestamp precision, time synchronization and network delay, which effect detection rate on the view of event sequence in time. On the three aspects, timestamp precision is the key to keep internal event sequence, time synchronization is the base of correcting event sequence among computers, and that network delay makes time-series analysis not true. Accordingly, we address some methods, i.e. raising timestamp precision, active self-adapting time synchronization algorithm and state turnabout mechanism. Experiments indicate that anyone of three measures can elevate detection performance to a certain extent. If they all are adopted, better detection results are revealed

关键词： Intrusion detection Computer networks Event detection Concurrent computing distributed computing Information security Laboratories Delay effects Correlation parallel processing

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OnRipple: A distributed overlay framework for targeted immunization in large-scale networks

OnRipple: A distributed overlay framework for targeted immun...

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8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless networks

作者： Yang, Sirui Jin, Hai Liao, Xiaofei Yao, Hong Huazhong Univ Sci & Technol Serv Comp Technol & Syst Lab Cluster & Grid Comp Lab Sch Comp Sci & Technol Wuhan 430074 Peoples R China

ISBN: (纸本)0769529097

Targeted immunization has been studied as an applicable measure for network epidemics. Unless global information is collected, existing targeted strategies are short of strength in organizing a potent structure to spread the vaccines fleetly. We propose a novel dynamic immunization mechanism, called OnRipple, to propagate vaccines in Susceptible-Infected-Removed (SIR) epidemiological model. With a light-weighted, scalable and distributed framework and an "axis" structure, OnRipple builds-up an effective overlay network. Thus, nodes have essential sampling information of the whole network and targeted immunization can be easily implemented. Nodes are also able to radiate vaccines to both nearby and distant participants almost at the same time. We analyze the performance of this strategy by simulations on small-world networks. On average, OnRipple is 34% faster than traditional targeted immunization. It is proven to be flexible and effective in large-scale peer-to-peer (P2P) networks and scale-free networks.

关键词： Large scale systems

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Proseedings: SNPD 2007: Eighth ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

Proseedings: SNPD 2007: Eighth ACIS International Conference...

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SNPD 2007: 8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

ISBN: (纸本)0769529097

关键词： Heuristic algorithms

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Proceedings - SNPD 2007: Eighth ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

Proceedings - SNPD 2007: Eighth ACIS International Conferenc...

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SNPD 2007: 8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking, and parallel/distributed computing

ISBN: (纸本)0769529097

关键词： Heuristic algorithms

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What affects decoding complexity of distributed video codec based on turbo code

What affects decoding complexity of distributed video codec ...

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8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless networks

作者： Fang Sheng Liang Yong-Quan Li Shen-Yuan Shandong Univ Sci & Technol Qingdao 266510 Peoples R China

ISBN: (纸本)0769529097

The distributed video coding (DVC) is a new coming video compression technology that utilizes a different computing complexity mode from the traditional video codec. As a new paradigm there are some fundamental and hard questions in DVC that are not sufficiently addressed, for example the complexity balance between DVC encoder and decoder. This will be an important factor for some promising real time applications. In this context, this paper studies the factors which affect the decoding complexities of turbo code based DVC especially focuses on quantization, side information and turbo code bit rates. Analyzing and simulation results show that precise side information will decrease the turbo decoding complexity, large reductions in computations can be traded against relatively small increases in bit rate, and uniform quantizer possesses the advantage than the non-uniform quantizer in computation load at a expense of a little decrease in rate distortion performance.

关键词： Image coding

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Communication optimization algorithms based on extend data flow graph

Communication optimization algorithms based on extend data f...

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8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless networks

作者： Gong Xue-Rong Zhao Rong-Cai Lu Lin-Sheng Engn & Technol R&D Ctr Natl Digital Switching Syst Zhengzhou 450002 Peoples R China Jiangnan Inst Comp Technol Wuxi 214083 Peoples R China

ISBN: (纸本)0769529097

Reducing communication overhead is extremely important for parallelizing compiler to generate efficient codes for distributed memory machines. In this paper a redundant parallel execution model (RPEM) is used as the model for target programs. The extend data flow graph is introduced, and optimization algorithms based on the data-flow analysis are discussed. The overhead of data flow analysis can be reduced by performing analysis on the extend data flow graph. The analysis helps to reduce the redundant communication overhead. These optimization algorithms are able to perform inter-loop and inter-procedure analysis. Experimental results prove that these optimizations algorithms are effective in reducing both the number of communications and the communication volume.

关键词： communication optimization extend data flow graph control flow graph data flow analysis distributed memory systems

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KZCAN: A kautz based content-addressable network

KZCAN: A kautz based content-addressable network

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8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless networks

作者： Yu, Jiguo Song, Jingjing Liu, Wenjun Zhao, Li Cao, Baoxiang Qufu Normal Univ Sch Comp Sci Shandong 276826 Peoples R China

ISBN: (纸本)0769529097

The topological properties of Peer-to-Peer (P2P) overlay networks are critical factors that dominate the performance of these systems. The P2P networks need a topology with arbitrary size and degree, while the Kautz digraph is a topology with good properties such as constant degree and optimal network diameter O(log(d) n). In this paper, We describe that KZCAN is a navel P2P network with constant expected degree. It is based on an overlay network preserving Kautz digraph connections dynamically, and on a distributed hash table (DHT) supporting efficient publish and search procedures. KZCAN shows that the DHT scheme with constant expected degree and can achieve log(d)(n/(d+1))+1 diameter. The routing length of KZCAN is shorter than CAN or D2B with the same degree when the P2P network is large scale.

关键词： distributed computer systems

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Eliminating redundant communication of code generation for distributed memory machines

Eliminating redundant communication of code generation for d...

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8th ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/distributed computing/3rd ACIS international Workshop on Self-Assembling Wireless networks

作者： Shen, Ya Nan Zhao, Rong Cai Wang, Lei Natl Digital Switching Syst Engn & Technol R&D Ct Zhengzhou 450002 Peoples R China Beijing Univ Aeronaut & Astronaut Beijing 100083 Peoples R China

ISBN: (纸本)0769529097

How to, eliminate redundant communications is a key issue in developing, parallelizing compilers for distributed' memory, machines. An important way, to) improve the, performance of the code generated by parallelizing compiler in distributed memory systems is to eliminate as much communications as possible. This paper investigates algorithms for generating communications code from previously published work and modifies them to eliminate redundant communications. Based on the mathematical model of symbolic coefficient linear inequalities the revisited formal specification of communications sets are presented and the corresponding improved algorithms are given. Experimental results indicate that the new algorithms can reduce communication messages and improve the performance of parallelized code significantly.

关键词： Signal encoding

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