Adaptive Communication Mechanism Research Articles

An adaptive multi-group slime mould algorithm for node localisation in wireless sensor networks

Node localisation is a common and significant practical application question in wireless sensor network (WSN). The goal of this problem is to use anchor nodes in the network to estimate the geographical location of the unknown node. A novel algorithm, named adaptive multi-group slime mould algorithm (AMSMA), is proposed in this study. The improved slime mould algorithm uses the multi-group strategy and adaptive communication mechanism to alleviate the lack of population diversity, development and exploration imbalance of the slime mould algorithm. The proposed AMSMA was tested under CEC2013 test suite. Compared with SMA and corresponding optimisation algorithms, the AMSMA is more effective and efficient. In addition, a novel localisation algorithm based on AMSMA is proposed. The AMSMA-Distance Vector-Hop (AMSMA-DV-Hop) is applied to the localisation of WSN. Compared with some other existing localisation algorithms, the proposed AMSMA-DV-Hop is an effective algorithm for the localisation of WSN.

Leader-following consensus of nonlinear discrete-time multi-agent systems with limited bandwidth and switching topologies

This paper considers the leader-following consensus problem of discrete-time nonlinear multi-agent systems over switching topologies with limited bandwidth. Through the encoding–decoding data, we design a distributed feedback control protocol which is closely associated with the connectivity of relevant channel at each time step. An adaptive communication mechanism is presented to ensure fewer bits of information transmission at each time step under the premise that the quantizer for encoding and decoding is not saturated. Although the nonlinear model over switching topologies introduces a cumulative error with respect to consensus error at previous time steps, the convergence rate of the system can be characterized. Through a rigorous convergence analysis, we illustrate that if the jointly connected condition of communication networks is satisfied, consensus issues will be resolved. A numerical simulation example shows that based on the designed distributed control law, all states of the follower agents are ultimately the same as the leader’s state.

Adaptive communication mechanism for accelerating MPI functions in NoC-based multicore processors

Multicore designs have emerged as the dominant organization for future high-performance microprocessors. Communication in such designs is often enabled by Networks-on-Chip (NoCs). A new trend in such architectures is to fit a Message Passing Interface (MPI) programming model on NoCs to achieve optimal parallel application performance. A key issue in designing MPI over NoCs is communication protocol, which has not been explored in previous research. This article advocates a hardware-supported communication mechanism using a protocol-adaptive approach to adjust to varying NoC configurations (e.g., number of buffers) and workload behavior (e.g., number of messages). We propose the ADaptive Communication Mechanism (ADCM), a hybrid protocol that involves behavior similar to buffered communication when sufficient buffer is available in the receiver to that similar to a synchronous protocol when buffers in the receiver are limited. ADCM adapts dynamically by deciding communication protocol on a per-request basis using a local estimate of recent buffer utilization. ADCM attempts to combine both the advantages of buffered and synchronous communication modes to achieve enhanced throughput and performance. Simulations of various workloads show that the proposed communication mechanism can be effectively used in future NoC designs.

Adaptive communication mechanism for accelerating MPI functions in NoC-based multicore processors

Adaptive communication mechanism for accelerating MPI functions in NoC-based multicore processors

Development of a HLA/RTI for High Performance Simulation

High performance simulation has great prospect of application in the fields of Materials Science and Engineering. In high performance simulation, high performance computers are used to improve the performance of simulation. As one of the simulation standards, HLA simulation was greatly applied in computer simulation. In HLA simulation domain, many RTIs are designed to support the simulation in LAN/WAN environment. Because of the general TCP/UDP communication mechanism, high simulation performance can’t be achieved by these software on high performance computer. To improve the simulation performance, a customized RTI software for high performance computer and PC hybrid environment is designed. By using of partially hierarchical design on functional distributed architecture, large scale simulation can be supported. An adaptive communication mechanism is proposed, which can adapt communication between different RTI components to shared memory, Infiniband and Ethernet automatically, thus can greatly improve communication performance. In addition, this paper explains the related design in this customized RTI.

Design of Adaptive Communication Mechanism for Ubiquitous Multiagent Systems

Agent-based middleware that has abilities of adaptation to dynamically changing environments is a significant direction for system developments in ubiquitous computing environments. In this paper, we focus on the communication infrastructure of agent-based middleware in ubiquitous computing environments. We propose an adaptive communication mechanism between agent platforms, which can select communication schemes flexibly, based on properties of inter-agent communication and resource status. We designed the proposed mechanism and implemented a prototype system. Furthermore, we performed an initial experiment by using the prototype system on a network environment with two types of access network. We confirmed that the dynamic selection of an inter-platform communication scheme works effectively according to the change of network resource status. From the experimental results, we confirmed that efficiency is improved 5% and stability is improved 22% when compared to that of the traditional mechanism.

Design of Adaptive Communication Mechanism for Ubiquitous Multiagent Systems

Design of Adaptive Communication Mechanism for Ubiquitous Multiagent Systems