This paper brings up a succinct way of improving the reliability of network systems and efficiency of data forwarding based on the traditional Cluster-tree routing algorithm. The improved algorithm requires the establ...
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ISBN:
(纸本)9780769549354
This paper brings up a succinct way of improving the reliability of network systems and efficiency of data forwarding based on the traditional Cluster-tree routing algorithm. The improved algorithm requires the establishment of neighbor node table, which needs updating regularly. The new algorithm reduces routing hop count and enhances transmission speed and efficiency of network information.
With the rapid development of semiconductor in- dustry, the number of cores integrated on chip increases quickly, which brings tough challenges such as bandwidth, scalability and power into on-chip interconnection. Un...
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With the rapid development of semiconductor in- dustry, the number of cores integrated on chip increases quickly, which brings tough challenges such as bandwidth, scalability and power into on-chip interconnection. Under such background, Network-on-Chip (NoC) is proposed and gradually replacing the traditional on-chip interconnections such as sharing bus and crossbar. For the convenience of physical layout, mesh is the most used topology in NoC design. routing algorithm, which decides the paths of pack- ets, has significant impact on the latency and throughput of network. Thus routing algorithm plays a vital role in a wellperformed network. This study mainly :focuses on the routing algorithms of mesh NoC. By whether taking network information into consideration in routing decision, routing algorithms of NoC can be roughly classified into oblivious routing and adaptive routing. Oblivious routing costs less without adaptiveness while adaptive routing is on the contrary. To combine the advantages of oblivious and adaptive routing algorithm, half-adaptive algorithms were proposed. In this paper, the concepts, taxonomy and features of routing algorithms of NoC are introduced. Then the importance of routing algorithms in mesh NoC is highlighted, and representative routing algorithms with respective features are reviewed and summarized. Finally, we try to shed light upon the future work of NoC routing algorithms.
In the routing protocol for wireless sensor network, the cluster size is generally fixed in clustering routing algorithm for wireless sensor network, which can easily lead to the "hot spot" problem. Furtherm...
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In the routing protocol for wireless sensor network, the cluster size is generally fixed in clustering routing algorithm for wireless sensor network, which can easily lead to the "hot spot" problem. Furthermore, the majority of routing algorithms barely consider the problem of long distance communication between adjacent cluster heads that brings high energy consumption. Therefore, this paper proposes a new cross unequal clustering routing algorithm based on the EEUC algorithm. In order to solve the defects of EEUC algorithm, this algorithm calculating of competition radius takes the node's position and node's remaining energy into account to make the load of cluster heads more balanced. At the same time, cluster adjacent node is applied to transport data and reduce the energy-loss of cluster heads. Simulation experiments show that, compared with LEACH and EEUC, the proposed algorithm can effectively reduce the energy-loss of cluster heads and balance the energy consumption among all nodes in the network and improve the network lifetime.
There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria ...
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There were many contradictory evaluation criteria to select next-hop in the delay-disruption tolerance networks(DTN).To solve this problem,an attribute hierarchical model was proposed,in which the predefined criteria were summarized as static identity attributes,forwarding desire attributes and delivery capability attributes(IDC).Based on this model,a novel multi-attributes congestion aware routing(MACAR) scheme with uncertain information for next-hop selection was presented,by adopting an decision theory to aggregate attributes with belief structure and computing partial ordering *** simulation results show that MACAR presents higher successful delivery rate,lower average delay and effectively alleviate congestion.
Due to technology scaling, aging issue is becoming one of major concerns in the design of network-on-chip (NoC). The imbalanced workload distribution and routing algorithm cause aging hotspots, where a certain group o...
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Due to technology scaling, aging issue is becoming one of major concerns in the design of network-on-chip (NoC). The imbalanced workload distribution and routing algorithm cause aging hotspots, where a certain group of routers have higher aging effect than others. This can possibly lead to shorter lifetime of NoC. Most existing aging-aware routing algorithms are based on minimal routing, which suffers from less degree of adaptiveness compared to non-minimal routing. Thus, they are inefficient to mitigate the aging effect of routers. In this paper, we propose to use a non-minimal routing scheme to detour the traffic away from the aging hotspots, with the objective of mitigating the aging effect for NoCs. The problem is formulated as a bottleneck shortest path problem and solved using a dynamic programming approach. Finally, the experimental results show that compared to the state-of-the-art aging-aware routing algorithm, the non-minimal routing algorithm has up to 20% lifetime improvement for hotspot traffic patterns and realistic workload traces.
To tackle the network congestion problem caused by ground gateway stations arranged within a limited area in low earth orbit (LEO) satellite networks, a routing algorithm based on segment routing for traffic return is...
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To tackle the network congestion problem caused by ground gateway stations arranged within a limited area in low earth orbit (LEO) satellite networks, a routing algorithm based on segment routing for traffic return is proposed. Light and heavy load zones are dynamically divided according to the relative position relationship between gateways and the reverse slot. The pre-balancing shortest path algorithm is used in the light load zone, and the minimum weight path defined by congestion index is the routing rule in the heavy load zone. Then, the consistent forwarding is performed referring to segment routing in all zones. Simulation conditions are different sizes of heavy load zone, different traffic density distributions, and different traffic demands. Simulation results confirm that the load-balancing performance is improved significantly with the extension of the heavy load zone size in terms of the average rejection ratio, the average relative throughput, the maximum link utilization, and the average delay. The proposed algorithm is an alternative solution and guidance for routing strategy in LEO satellite networks.
Very-large-scale network-on-chip (VLS-NoC) has become a promising fabric for supercomputers, but this fabric may encounter the many-fault problem. This article proposes a deterministic routing algorithm to tolerate th...
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Very-large-scale network-on-chip (VLS-NoC) has become a promising fabric for supercomputers, but this fabric may encounter the many-fault problem. This article proposes a deterministic routing algorithm to tolerate the effects of many faults in VLS-NoCs. This approach generates routing tables offline using a breadth-first traversal algorithm and stores a routing table locally in each switch for online packet transmission. The approach applies the Tarjan algorithm to degrade the faulty NoC and maximizes the number of available nodes in the reconfigured NoC. In 2D NoCs, the approach updates routing tables of some nodes using the deprecated channel/node rules and avoids deadlocks in the NoC. In 3D NoCs, the approach uses a forbidden-turn selection algorithm and detour rules to prevent faceted rings and ensures the NoC is deadlock-free. Experimental results demonstrate that the proposed approach provides fault-free communications of 2D and 3D NoCs after injecting 40 faulty links. Meanwhile, it maximizes the number of available nodes in the reconfigured NoC. The approach also outperforms existing algorithms in terms of average latency, throughput, and energy consumption.
In some particular environments such as battlefield, disaster recovery and wide area surveillance, most existing routing algorithms will fail to deliver messages to their destinations. Thus, it is an important researc...
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In some particular environments such as battlefield, disaster recovery and wide area surveillance, most existing routing algorithms will fail to deliver messages to their destinations. Thus, it is an important research issue of how to deliver data in disconnected wireless sensor networks. This paper presents two efficient message ferry routing algorithms, denoted as MFRA1 and MFRA2, for data collection in disconnected wireless sensor networks. Both algorithms are designed to find feasible routes for the message ferry such that the buffers of sensors will not overflow after a complete sequence. A complete sequence is the visit sequence of message ferry which visits every sensor node at least once. We find the shortest sequence for message ferry which visits every sensor exactly once and then we check the feasibility of the visit sequence. If there is a sensor overflow, MFRA1 and MFRA2 fix the overflow by partitioning the initial visit sequence into some sub-sequences such that the ferry visits the overflow node twice in the resulting sequence. The above process will continue until a feasible solution is found. Simulation results show that both MFRA1 and MFRA2 are better than other schemes in terms of the amount of data lost, because the other schemes neglect the case of sensor overflow.
Typically, delay tolerant network (DTN) suffers from frequent disruption, high latency, and lack of stable connections between nodes. As a special case of DTN, vehicular delay tolerant network (VDTN) has particular sp...
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Typically, delay tolerant network (DTN) suffers from frequent disruption, high latency, and lack of stable connections between nodes. As a special case of DTN, vehicular delay tolerant network (VDTN) has particular spatial-temporal characteristics. Different kinds of vehicles may have different movement ranges and movement patterns and the movements of vehicles exhibit significant dynamics from the temporal view. The movement patterns and dynamic characteristics of vehicles are difficult to be described accurately. To this end, a novel framework of VDTN routing algorithm based on trajectory clustering and dynamic Bayesian network (DBN) is proposed, which can capture the spatial-temporal characteristics and the movement patterns of vehicles in the real VDTN scenarios. Firstly, a K-means trajectory clustering (KTC) algorithm is adopted to cluster the trajectories of vehicles according to their spatial characteristics. Then, a KTC-based DBN structure learning algorithm is proposed to construct the prior network and transition network of DBN by an extended K2(+) algorithm to capture the temporal characteristics of VDTN, and multiple DBN models are established for different trajectory clusters to further improve the prediction accuracy. Finally, a VDTN routing algorithm is presented to forward message by the inference of DBN models. Simulation results show that the proposed VDTN routing algorithm has a higher delivery ratio as well as a lower overhead compared with other related routing algorithms, and the effectiveness of the trajectory clustering method and DBN models are verified.
In the field of vehicular wireless sensor networks-based structural health monitoring, the structural damage identification is achieved by two structural features, namely natural frequencies and mode shapes. The kind ...
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In the field of vehicular wireless sensor networks-based structural health monitoring, the structural damage identification is achieved by two structural features, namely natural frequencies and mode shapes. The kind of data fusion-based routing algorithm in specific applications needs to meet time synchronization requirements and meet certain constraints, such as the single-hop communication between cluster head node and each node in cluster, the overlap between different clusters and so on. To meet the special constraints for data fusion-based routing algorithm in structural health monitoring, this paper proposed a new method based on an improved flooding time synchronization protocol, which is called time synchronization and enhanced greedy algorithm based on D(v) (TSDEGA) routing algorithm. The TSDEGA method can achieve the minimum connected cover by node's own degree D(v), and it can also meet the structural health monitoring routing constraints. The simulation experiments show that TSDEGA has better energy resistance and longer network lifetime, and it is superior to the traditional greedy algorithms. The proposed algorithm can effectively eliminate interference of outliers and improve the accuracy in order to meet time synchronization requirements in structural health monitoring applications.
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