To solve the problem of the efficient transmission in error-prone wireless network, an ideal transmission model based on coding group (ITCG) is proposed in this paper. Furthermore, a retransmission model based on codi...
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To solve the problem of the efficient transmission in error-prone wireless network, an ideal transmission model based on coding group (ITCG) is proposed in this paper. Furthermore, a retransmission model based on coding group (RTCG) is introduced due to the error-prone channel in wireless network. Also, a novel transmission algorithm of retransmission model is proposed based on coding group (ARTCG). At last, through the experiment, the transmission delay and throughput of the unicast and ARTCG are separately analyzed. Simulation results show that ARTCG can improve the transmission efficiency and solve the sharp decrement of performance with the condition of node's burst error. ARTCG can keep the transmission fairness of the different data.
The main objective of wireless sensor network design is to fulfill the task of prolonging network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive gr...
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The main objective of wireless sensor network design is to fulfill the task of prolonging network lifetime. The network topology, which is the important foundation of upper layer protocols, serves as the supportive groundwork for achieving this goal. In order to design a topology control algorithm that conforms to the lifetime requirement of wireless sensor networks, the defects of previous algorithms are firstly explored. There are some defects such as deployment restriction, low reliability or poor rationality found in these algorithms. Then a WSN cluster model is constructed and analyzed theoretically according to the requirement of clustering, which ultimately turns to a clustering and cluster-head electing problem with approximate optimizing objectives. A heuristic topology control algorithm of cluster (HTCC) is proposed as a solution to the above problem. HTCC is composed of two methods: cluster constructing (CC) method and cluster-head electing (CHE) method. The clusters can be partitioned by the CC method, and the cluster-heads can be selected by the CHE method. The performance of the algorithm is analyzed and validated through experiments. The result indicates that the network topology of clusters with proper size has the characteristics of low energy consumption and high robustness, effectively prolonging the lifetime of the whole network.
Node churn is one hurdle to using peer-to-peer (P2P) networks as anonymous networks, which makes the anonymous path fragile and results in message loss and communication failures. A collaboration scheme including frie...
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ISBN:
(纸本)9781424416509
Node churn is one hurdle to using peer-to-peer (P2P) networks as anonymous networks, which makes the anonymous path fragile and results in message loss and communication failures. A collaboration scheme including friendly neighbor-based incentive (FNI) and re-encryption mechanism is proposed to deal with the high node churn (changes in system membership) characteristic of unstructured P2P networks. The simple FNI mechanism is presented to encourage peers to forward other peers' queries, and establish more connections to improve the performance of P2P overlay network where only stable and well-behaved nodes can be chosen as relay nodes to prolong single path durability. The re-encryption mechanism is designed to replace those failed relay nodes and achieve routing resilience upon different node availabilities in real- world systems. The results from our security analysis and simulation show that the collaboration scheme greatly improves routing resilience and maintains low latencies and low communication overhead.
Multi-objective flowshop scheduling problems have gained wide attention both in practical and academic fields. In this paper, a hybrid multi-objective genetic algorithm is proposed to solve multi-objective no-wait flo...
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Multi-objective flowshop scheduling problems have gained wide attention both in practical and academic fields. In this paper, a hybrid multi-objective genetic algorithm is proposed to solve multi-objective no-wait flowshop scheduling problems with both the makespan and the total flow time minimization. The proposed algorithm makes use of the principle of non-dominated sorting, coupled with the use of elitist solutions strategy. To improve efficiency, two effective multi-objective local search procedures based on objective increment are applied on each chromosome in the archive. Experimental results show that the proposal outperforms the other three heuristics both on effectiveness and efficiency.
No-wait flowshops with flowtime minimization are typical NP-Complete combinatorial optimization problems, widely existing in practical manufacturing systems. Different from traditional methods by which objective of a ...
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No-wait flowshops with flowtime minimization are typical NP-Complete combinatorial optimization problems, widely existing in practical manufacturing systems. Different from traditional methods by which objective of a new schedule being completely computed objective increment methods are presented in this paper by which the objective of an offspring being obtained just by objective increments and computational time can be considerably reduced. HGAI (Hybrid GA based on objective Increment) is proposed by integrating genetic algorithm with a local search method. A heuristic is constructed to generate an individual of initial population and a crossover operator is introduced for mating process. HGAI is compared with two best so far algorithms for the considered problem on 110 benchmark instances. Computational results show that HGAI outperforms the existing two in effectiveness with a little more computation time.
Although a large number of different proposals have emerged in recent years, a fundamental problem of P2P streaming networks concerned about is to establish an optimal routing structure with achieving certain optimiza...
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ISBN:
(纸本)9781424432806
Although a large number of different proposals have emerged in recent years, a fundamental problem of P2P streaming networks concerned about is to establish an optimal routing structure with achieving certain optimization metric. In this paper, we focus on the problem of maximizing universal streaming rate in P2P streaming networks with constrained neighborhood. Firstly, we extend the fluid-based model and propose a new P2P streaming network model taking the neighborhood constraint into account. Second, we formulate the problem of maximizing the universal streaming rate in the new model. After proving its NP-hardness, we propose a heuristic multiple trees packing algorithm and corresponding optimum strategies. The simulation results show that the algorithm can achieve the theoretical upper bound of the universal streaming rate in fluid-based model without constrained neighborhood. While neighborhood constraint is considered, in addition, the universal streaming rate will have different decline according to various intensity of neighborhood constraint.
In this paper, no-wait flow shop scheduling problem with total flowtime minimization is considered. A hybrid heuristic is proposed, which is based on PH1 (p) (presented by Aldowaisan and Allahverdi, OMEGA, 2004). A co...
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Communication burden and security are important for agent-based scheduling architectures in uncertain and dynamic scheduling environments, which have not yet been fully solved in traditional *** this paper, a multi-ag...
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Communication burden and security are important for agent-based scheduling architectures in uncertain and dynamic scheduling environments, which have not yet been fully solved in traditional *** this paper, a multi-agent based framework is *** network Protocol is combined with Marked-based negotiation protocol to get a trade-off between effectiveness and efficiency.A registration mechanism is given to reduce the communication *** Signature is adopted to enhance the *** well, XML is integrated with KQML to improve the *** with the existing methods, the proposed one is not only securer in data exchanging but also more effective for dynamic scheduling problems.
The Eleman Neural network has been widely used in various fields ranging from temporal version of the Exclusive-OR function to the discovery of syntactic categories in natural language date. However, one of the proble...
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In this paper, a Web Service based method is presented to conduct parallelized operations in an algorithm on multiple computers. Parallelizable operations in a constructive heuristic for flow shop scheduling problem w...
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ISBN:
(纸本)1424409624
In this paper, a Web Service based method is presented to conduct parallelized operations in an algorithm on multiple computers. Parallelizable operations in a constructive heuristic for flow shop scheduling problem with total flowtime minimization are analyzed. A parallel heuristic for the problem is described and its parameters are analyzed in theory. The proposed parallel heuristic is compared with the corresponding centralized one. Experimental results show that the proposed method can substantially increase efficiency.
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