A generic internet of things architecture for controlling electrical energy consumption in smart homes

This article proposes an innovative resource management framework for the next generation heterogeneous satellite networks (HSNs), which can achieve cooperation between independent satellite systems and maximizing resource utilization. The key points of the proposed design lie in the architecture that supports the intercommunication between different satellite systems, and the SDN/NFV-based management offering the matching between resources and services. Based on the framework, we then apply deep reinforcement learning (DRL) into the system due to its strong ability in optimal matching. The two problems of multiobjective reinforcement learning and multiagent reinforcement learning are studied to adapt the development of the HSN. The combination of the DRL and resource allocation achieves integrated resource management across different satellite systems and achieves resource allocation in the HSN which can be implemented more flexibly and efficiently.

The Next Generation Heterogeneous Satellite Communication Networks: Integration of Resource Management and Deep Reinforcement Learning

The Internet of Things (IoT) lay down a platform for global communication among millions of electronic devices connected to the internet. These devices and electronic appliances included both wireless and wired sensors, home appliances such as Television, refrigerator, etc., radio frequency identifications (RFID), and so. Similarly, heterogeneous networks provide a platform for media independent communications. However, there exist several issues in using heterogeneous technologies for IoT communications. These challenges include the co-existence of wireless technologies such as ZigBee, Bluetooth and WIFI, cross-layer communications, high packet loss due to interferences with electronic devices, etc. Similarly, IoT is a new paradigm for interconnecting electronic devices, thus, it needs major refinement for standardising it for various services. In order to address the aforementioned challenges, we proposed a scheme for enabling a generic IoT framework and platform for various IoT embedded devices. The working of the proposed scheme is twofold, (1) discovering and collecting information from IoT enabled devices using sensors and (2) scheduling the working of these appliances based on the data collected using sensors attached to these devices. Further, the data is transferred to Hadoop ecosystem for processing and analyzing to disseminate the relevant information to the citizen. Moreover, the proposed system is tested in a smart home scenario by installing sensors attached to various home appliances. The energy consumption and packet loss occur due to available electronic appliances, and heterogeneous devices are computed and analyzed for planning an optimal scheduling scheme and load balancing. Similarly, data from various authentic sources is analyzed using Hadoop ecosystem and disseminate it to the citizen in real-time.

Designing Smart Control Systems Based on Internet of Things and Big Data Analytics

Space information network (SIN) plays an extremely important role in civil and military applications. However, a specific definition of SIN still remains a challenging issue. Unlike space communication network (SCN), which merely focuses on information delivery, SIN has the ability to process the delivered information and providing corresponding services based on the information, which makes SIN seem to be able to understand information. This paper offers architecture and corresponding network model for time-space uninterrupted SIN. Initially, both physical and logical constitution of SIN architecture are presented with several corresponding constellation designs, which is the fundamental work for setting nodes in SIN. Based on this SIN architecture, a hierarchical autonomous system (AS)-based network model for SIN is proposed in order to manage SIN more efficiently by separating the whole network into several relatively stable ASs. Furthermore, we analyze topology control schemes and network capacity trend of AS-model based SIN. This paper gives the future research directions in the conclusion.

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Architecture and Network Model of Time-Space Uninterrupted Space Information Network

As a promising use-case of the Internet of Things (IoT), wildlife tracking and monitoring applications greatly benefit the ecology-related research both commercially and scientifically. In literature, a forward-wait-deliver strategy has been researched to facilitate energy-efficient dissemination of delay-tolerant information, which penitentially contributes to long-term tracking and monitoring. However, this strategy is not directly applicable for wildlife tracking and monitoring applications, as the movement trajectory of animals cannot be precisely predicted for relay selection. To this end, further studies are required to utilize partially predictable mobility based on more generalized navigational information such as the movement direction. In this paper, the feasible exploitation of directional movement in path-unconstrained mobility is investigated for strategic forwarding. Our proposal is an advance to the state-of-the-art because the directional correlation of destination movement is considered to dynamically exploit the node mobility for the optimal selection of a stationary relay. Simulation results show that higher delivery utility can be achieved by the proposed fuzzy path model compared with a forwarding scheme without contact prediction or one based on linear trajectory model.

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Movement-Aware Relay Selection for Delay-Tolerant Information Dissemination in Wildlife Tracking and Monitoring Applications

Wireless sensor networks (WSNs) are widely applied in monitoring and control of environment parameters. It is sometimes necessary to disseminate data through wireless links after they are deployed in order to adjust configuration parameters of sensors or distribute management commands and queries to sensors. Several approaches have been proposed recently for data dissemination in WSNs. However, none of these approaches achieves both high efficiency and low complexity simultaneously. To address this problem, cluster-tree based network architecture, which divides a WSN into hierarchies and clusters is proposed. Upon this architecture, data is delivered from base station to all sensors in clusters hierarchy by hierarchy. In each cluster, father broadcasts data to all his children with instantly decodable network coding (IDNC), and a novel scheme targeting to maximize total transmission gain (MTTG) is proposed. This scheme employs a new packet scheduling algorithm to select IDNC packets, which uses weight status feedback matrix (WSFM) directly. Analysis and simulation results indicate that the transmission efficiency approximate to the best existing approach maximum weight clique, but with much lower computational overhead. Hence, the energy efficiency achieves both in data transmission and processing.

Data dissemination in wireless sensor networks with instantly decodable network coding

Space Information Network (SIN) has recently become prevalent as a promising approach to solve the collaboration difficulty among current space programs. However, due to large scale, high component complexity and dynamic characteristics of the SIN, the task of proper SIN architecture design is challenging. We propose a novel architecture of SIN, which composed of Geostationary Earth Orbit (GEO) satellites as backbone network nodes, Low Earth Orbit (LEO) or Incline Geosynchronous Orbit (IGSO) satellites as enhanced coverage nodes, and high altitude platforms to meet the service requirements of emergency or hot-spot applications. Compared with most existing studies, the proposed architecture is autonomous system (AS) based. The complex and dynamic SIN is decoupled into semi-static subnetworks constituted by similar nodes which are easier to control.

A novel space information network architecture based on autonomous system

This article investigates the topology control problem in the space information network (SIN) using a hierarchical autonomous system (AS) approach. We propose an AS network topology control (AS-TC) algorithm to minimize the time delay in the SIN. Compared with most existing approaches for SIN where either the purely centralized or the purely distributed control method is adopted, the proposed algorithm is a hybrid control method. In order to reduce the cost of control, the control message exchange is constrained among neighboring sub-AS networks. We prove that the proposed algorithm achieve logical k-connectivity on the condition that the original physical topology is k-connectivity. Simulation results validate the theoretic analysis and effectiveness of the AS-TC algorithm.

A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network

It's a challenging task to design a high performance modulation for satellite and space communications due to the limited power and bandwidth resource. Constant envelope modulation is an attractive scheme to be used in such cases for their needlessness of input power back-off about 2~3 dB for avoidance of nonlinear distortion induced by high power amplifier. The envelope of Feher quadrature phase shift keying (FQPSK) has a least fluctuation of 0.18 dB (quasi constant envelope) and can be further improved. This paper improves FQPSK by defining a set of new waveform functions, which changes FQPSK to be a strictly constant envelope modulation. The performance of the FQPSK adopting new wave- form is justified by analysis and simulation. The study results show that the novel FQPSK is immune to the impact of HPA and outperforms conventional FQPSK on bit error rate (BER) performance. The BER performance of this novel modulation is better than that of FQPSK by more than 0.5 dB at least and 2 dB at most.

Constant envelope enhanced FQPSK and its performance analysis

Due to the long propagation distance between spacecraft and Earth station the high power efficiency is more important for deep space communication than others communication systems. One novel coded modulation scheme based on AR4JA code and FQPSK (Feher's QPSK) is proposed out in this paper, which can alleviate the challenge of huge loss in space communications. The novel approach utilizes the property that AR4JA code enables communication at very low signal noise rate and constant envelope property of FQPSK to overcome the nonlinear impact of high power amplifier. At receiver, large gain can be attained by iterative demodulation and decoding. The paper presents the system model of coded modulation and proposes out iterative receive algorithm. Finally, the bit error rate performance of new scheme is confirmed by computer simulation.

Dongming Bian

Papers

Data dissemination in wireless sensor networks with instantly decodable network coding

A novel space information network architecture based on autonomous system

A Hierarchical Autonomous System Based Topology Control Algorithm in Space Information Network

Constant envelope enhanced FQPSK and its performance analysis

A concatenated coded modulation scheme and its iterative receiving for deep space communications