Wireless Sensor Network Gateway Research Articles

Energy-efficient image compression algorithm for wireless sensor networks in structural health monitoring applications

In Wireless Sensor Networks (WSN), transmitting an uncompressed image consumes more energy than a compressed image, and it is, therefore, the prime requirement to establish energy-aware compression methods to extend the life of the sensor node, and ultimately the network as a whole. This work suggests an image compression algorithm with a low degree of complexity for WSNs in structural health monitoring applications. This algorithm represents a pruning approach to a Discrete Cosine Transform approximation transform in which the transformation matrix is modified to reduce the series of steps and the compression ratio achieved is better compared to the actual image which makes it easy for the data storage. Because of the reduction in the number of data bits, it enhances the lifetime of the network by reducing the number of node failures caused by resource scarcity. The implementation is tested by capturing real-time images of concrete walls in buildings using Raspberry Pi3B + WSN gateway fitted with camera modules. The scheme is also investigated in terms of a variety of parameters like Peak Signal to Noise Ratio, Mean Square Error, Structural SIMilarity Index and Compression Ratio. This technique achieves the best arbitration of energy consumption and image quality.

A bi-level mathematical model to protect gateways in underwater wireless sensor networks

A bi-level mathematical model to protect gateways in underwater wireless sensor networks

A bi-level mathematical model to protect gateways in underwater wireless sensor networks

A bi-level mathematical model to protect gateways in underwater wireless sensor networks

Simulation Test of Wireless Underground Sensor Network in Stadiums

The underground sensor network is a kind of sensor network with sensor nodes buried in the soil. It is used in football fields, golf courses, and other stadiums and can effectively assist the stadium managers to maintain the turf condition. As the turf maintenance in the stadium is still in the manual state, the turf maintenance is time-consuming and laborious. In order to improve this situation and adapt to future development needs, this paper proposes a wireless underground sensor network, designs the network architecture, and uses NS2 network simulation. The performance of the network was simulated and tested by the platform. This article first proposes a distance estimation method for sound and vibration signals based on the generalized correlation of the time difference of arrival based on the characteristics of the real signal when the event occurs. Then, for the range estimation obtained by applying this method, applying the idea of sparse signal reconstruction, a positioning algorithm based on the time difference of arrival based on the velocity function is proposed. Finally, using the above-mentioned positioning algorithm, this paper obtains an overall fusion positioning strategy with the help of the idea of data fusion while taking into account the characteristics of the vibration source on the steel beam based on the positioning results of individual sound and vibration signals. The point of innovation lies in the development of positioning and tracking-oriented platforms, including the development of wireless sensor network gateways and the development of sensor nodes. A network gateway based on network communication was developed to realize the connection with the Internet extranet. The results show that the wireless underground sensor network has strong usability in stadiums, and the network performance can meet the application requirements.

Research on water and fertilizer irrigation system of tea plantation

In this article, water and fertilizer irrigation system of tea plantation was developed to ensure stable yield, quality of tea, and appropriate irrigation and fertilization. Wireless sensor network node and gateway node are designed and deployed in the tea plantation for collecting soil moisture in real time. Each of the sensor nodes was composed of a STM32F103ZET6 microprocessor and a CC2420 transceiver module. Microcontroller S3C2410X is the kernel of hardware platform in the gateway nodes. All data were transmitted by wireless sensor network. The images of the tea leaves are collected by the high-speed camera loaded onto the unmanned aerial vehicle for analysis of the tea deficiency. The monitoring system is mainly used to display the humidity information about each node, the switch status of the water pump, the battery valve, and so on. It is convenient for user to manage the tea plantation. System configuration and parameter modification can be configured through the monitoring system. The dynamic time warping algorithm is used to judge the abnormal situation of the system. Diamond deployment is used in the network, and the networking experiments were conducted comparing with random deployment. Result showed that both time delay and congestion of network increased as the network scale varied from 5, 10, and 15 to 20 nodes. The topology stabilization time gets prolonged simultaneously. Packet loss rate decreased while data transmission interval varied from 10, 20, and 30 to 40 s. Packet loss rate values in diamond deployment are lower than those in random deployment. In order to improve the accuracy of tea deficiency detection, data fusion technology was adopted. A block-based histogram is employed and similarity distance is adopted to confirm the diagnosis of absence of one or more nutrients of tea. The image information and the spectral information are acquired. The principal component factor is extracted and input into the back propagation neural network to judge the quality of the tea. The number of principal component factors of image information and spectral information is set to six and three; the overall recognition rate reached 97.8%. Therefore, the level of the system abnormality can be determined by the dynamic time warping distance. Test results indicate that it is possible to accurately determine whether tea is deficient and accurately determine whether the system data acquisition is abnormal.

Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform

<span lang="EN-US">t</span><span lang="EN-US">he fusion of cellular network and wireless sensor network is the key research problem of Internet of Things (IoT) technology at present. The design and implementation of wireless sensor cellular network based on Android platform is mainly studied. Firstly, wireless sensor network and cellular network, Android platform, cellular network and Wireless Sensor Network (WSN) fusion strategy, and Wireless Sensor Network (WSN) gateway platform are introduced. Then related functions are introduced, mainly including terminal registration management, connection management, authentication management, terminal fault management, and communication message design on the gateway and sensor network side. Finally, related functional tests are conducted. The results show that the designed application layer gateway system can connect the sensor network with the cellular network.</span><span lang="DE"> Time Division-Synchronization Code Division Multiple Access (TD-SCDMA) and cellular network covers the whole world, while cellular network has been interconnected with the Internet through Access Network Technologies such as General Packet Radio Service (GPRS), The Fourth Generation of Mobile Phone Mobile Communication Technology Standards (4G) and Long Term Evolution (LTE), thus enabling the sensor network to access the Internet anytime and anywhere</span>

Dynamic Rendezvous Node Estimation for Reliable Data Collection of a Drone as a Mobile IoT Gateway

By using drones as mobile IoT gateways in wireless sensor networks, data collection can be possible even in areas where IoT wireless communication is not available. A drone can move near the rendezvous node of the wireless sensor networks and receive the collected data from the node. Then, the drone moves to an area where IoT wireless communication is possible and transfers the data to the IoT server. Because drones operate as a battery, it is important to optimize the energy consumption. Existing research reduces the drone's energy consumption by minimizing flight distance using predetermined information such as the orbit, sensor location and network topology. However, if data collection fails, the additional flying distance of the drone increases dramatically and energy consumption also increases. It is important to increase the success rate of data collection. In this paper, we propose a dynamic rendezvous node estimation scheme, taking into account the average of drone speed and data collection latency without predetermined information. Simulation results show that the proposed scheme is more reliable in terms of the data collection success rate.

Design of Mobile 4G Gateway Based on Zigbee Wireless Sensor Network

To realize the design of mobile 4G gateway of ZigBee wireless sensor network (WSN), a scheme of wireless remote monitoring based on ZigBee and general packet radio service (GPRS) WSN gateway system is proposed. The scheme combines the advantages of short distance, low power consumption, low cost and long distance popular communication of ZigBee technology, and uses the system architecture of ZigBee + GPRS + Android. On this hardware platform, the transplantation of Android system and the development of related hardware device drivers are designed and implemented, so as to build the software platform of the system. Based on the software and hardware platform of the system, the related applications are designed and realized according to the function requirements of the system, and the software and hardware platform and the application program are tested and analyzed. The test results show that the system runs steadily and has good performance. To sum up, the hardware platform has the advantages of low energy consumption, high performance and scalability.

Research and Development of Energy-Aware Multi-Hop Routing Protocol based on Gateway for Wireless Sensor Networks

Research and Development of Energy-Aware Multi-Hop Routing Protocol based on Gateway for Wireless Sensor Networks

Application-aware end-to-end delay and message loss estimation in Internet of Things (IoT) — MQTT-SN protocols

Wireless Sensor Network (WSN) is suffering from ailments like a small lifetime of participating nodes, packet loss during delivery, an end-to-end delay etc. Static allocation of sensor nodes and gateways are suitable for the predefined, pre-planned WSN. The more we comprise sensor nodes, the more we need gateways to accomplish the whole IoT (Internet of Things) based scenario. These communication imprecisions have led the trendy IoT network to be self-motivated in nature. This article proposed a gateway to gateway load balancing solution for smart talk static defined WS cluster network to overcome these issues. We have explored the unusual behavior of WSN gateways with suitable theoretical expressions and applied dynamic gateway selection formula to reduce end-to-end delay as well as to increase packet delivery rate. The experimental scenario has been developed using sensor devices, Arduino Uno, Raspberry Pi 3, Amazon web services, MQTT broker and private cloud platform in our Mobile Cloud computing laboratory. Theoretical analysis shows that the occurrence of delay due to increasing number of packets and message payload has reduced compared to the existing approaches. Experimental results confirm the correctness of the proposed model.

SCE-PSO based clustering approach for load balancing of gateways in wireless sensor networks

Wireless sensor networks (WSNs) consist of spatially distributed low power sensor nodes and gateways along with sink to monitor physical or environmental conditions. In cluster-based WSNs, the Cluster Head is treated as the gateway and gateways perform the multiple activities, such as data gathering, aggregation, and transmission etc. Due to improper clustering some sensor nodes and gateways are heavily loaded and dies early. This decreases lifetime of the network. Moreover, sensor nodes and gateways are constrained by energy, processing power and memory. Hence, to design an efficient clustering is a key challenge in WSNs. To solve this problem, in this paper we proposed (1) a clustering algorithm based on the shuffled complex evolution of particle swarm optimization (SCE-PSO) (2) a novel fitness function by considering mean cluster distance, gateways load and number of heavily loaded gateways in the network. The experimental results are compared with other state-of-the-art load balancing approaches, like score based load balancing, node local density load balancing, simple genetic algorithm, novel genetic algorithm. The experimental results shows that the proposed SCE-PSO based clustering algorithm enhanced WSNs lifetime when compared to other load balancing approaches. Also, the proposed SCE-PSO outperformed in terms of load balancing, execution time, energy consumption metrics when compared to other existing methods.

IoT Traffic Management and Integration in the QoS Supported Network

This paper proposes: 1) a traffic flow management policy, which allocates and organizes machine type communication (MTC) traffic flows network resources sharing within evolved packet system (EPS); 2) an access element as a wireless sensor network gateway for providing an overlaying access channel between the machine type devices and EPS; and 3) it addresses the effect and interaction in the heterogeneity of applications, services and terminal devices, and the related quality of service (QoS) issues among them. This paper overcomes the problems of network resource starvation by preventing deterioration of network performance. The scheme is validated through simulation, which indicates the proposed traffic flow management policy outperforms the current traffic management policy. Specifically, simulation results show that the proposed model achieves an enhancement in QoS performance for the MTC traffic flows, including a decrease of 99.45% in packet loss rate (PLR), a decrease of 99.89% in packet end to end (E2E) delay, a decrease of 99.21% in packet delay variation (PDV). Furthermore, it retains the perceived quality of experience of the real time application users within high satisfaction levels, such as the voice over long term evolution service possessing a mean opinion score (MOS) of 4.349 and enhancing the QoS of a video conference service within the standardized values of a 3GPP body, with a decrease of 85.28% in PLR, a decrease of 85% in packet E2E delay and a decrease of 88.5% in PDV.

Shuffled Complex Evolution Approach for Load Balancing of Gateways in Wireless Sensor Networks

Energy consumption is one of the important factor of Wireless Sensor Networks (WSN). It has much attention in many fields. From recent studies, it is observed that energy consumption in WSN is challenging task as the energy is limited resource. This energy is needed for sensor nodes operation. In order to maximize the network lifetime, energy consumption should be mitigated. In cluster based WSN, cluster head i.e., the leader of cluster performs various activities, such as data collection from its member nodes, data aggregation and data exchange with base station. Hence, load balancing in WSNs is one of the challenging task to maximize network lifetime. In order to address this problem, in this paper, Shuffled Complex Evolution (SCE) algorithm is used. A novel fitness function is also designed to evaluate fitness of solutions produced by SCE algorithm. In SCE, the solutions with best and worst fitness value exchange their information to produce new off-spring. We have simulated proposed load balancing algorithm along with other state-of-the-art load balancing algorithms, namely Node Local Density Load Balancing, Score Based Load Balancing, Simple Genetic Algorithm based load balancing, Novel Genetic Algorithm based Load Balancing. It is observed from experimental results that proposed load balancing algorithm outperforms state-of-the-art load balancing algorithms in terms of load balancing, energy consumption, execution time, number of sensor nodes and number of heavy loaded sensor nodes.

An Efficient Load Balancing of Gateways Using Improved Shuffled Frog Leaping Algorithm and Novel Fitness Function for WSNs

Energy consumption is one of the important factors in wireless sensor networks (WSNs) design. As energy is a limited resource, energy consumption problem in WSNs has become a fast growing problem, and there is a need of efficient and robust algorithms for load balancing in WSNs. This energy is needed for sensor nodes operations. In order to maximize the network lifetime, energy consumption should be optimized. In cluster-based WSNs, cluster heads or gateways perform activities, such as data collection from its member nodes, data aggregation, and data exchange with the base station. Hence, load balancing of gateways in WSNs is one of the crucial and challenging tasks to maximize network lifetime. In order to address this problem, in this paper, shuffled frog leaping algorithm (SFLA) is improved by suitably modifying the frog’s population generation and off-spring generation phases in SFLA and by introducing a transfer phase. A novel fitness function is also designed to evaluate the quality of the solutions produced by the improved SFLA. We performed extensive simulations of the proposed load balancing algorithm in terms of various performance parameters. The experimental results are encouraging and demonstrated the efficiency of the proposed algorithm.

Dual-Source Linear Energy Prediction (LINE-P) Model in the Context of WSNs.

Energy harvesting technologies such as miniature power solar panels and micro wind turbines are increasingly used to help power wireless sensor network nodes. However, a major drawback of energy harvesting is its varying and intermittent characteristic, which can negatively affect the quality of service. This calls for careful design and operation of the nodes, possibly by means of, e.g., dynamic duty cycling and/or dynamic frequency and voltage scaling. In this context, various energy prediction models have been proposed in the literature; however, they are typically compute-intensive or only suitable for a single type of energy source. In this paper, we propose Linear Energy Prediction “LINE-P”, a lightweight, yet relatively accurate model based on approximation and sampling theory; LINE-P is suitable for dual-source energy harvesting. Simulations and comparisons against existing similar models have been conducted with low and medium resolutions (i.e., 60 and 22 min intervals/24 h) for the solar energy source (low variations) and with high resolutions (15 min intervals/24 h) for the wind energy source. The results show that the accuracy of the solar-based and wind-based predictions is up to approximately 98% and 96%, respectively, while requiring a lower complexity and memory than the other models. For the cases where LINE-P’s accuracy is lower than that of other approaches, it still has the advantage of lower computing requirements, making it more suitable for embedded implementation, e.g., in wireless sensor network coordinator nodes or gateways.

Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform

With the progress of the times, the network has grown into the people's work and life. The limitations of the traditional wireless sensor network (WSN) have become increasingly prominent, and it is obviously unable to meet the requirements of Internet access. Therefore, the 4G mobile Android system is used as a carrier, to design an application layer gateway system for realizing wireless communication between wireless sensor networks and heterogeneous cellular networks, so as to build wireless sensor cellular network. The design and implementation of the AP module, data receiving and forwarding module, network packet loss management and retransmission of the gateway systemis the focus, and then the implemented gateway system is tested. The test results show that the design of the Android platform wireless sensor network gateway system can connect the sensor network to the cellular network, so as to realize data communication, and to ensure that the data loss rate is less than 0.1%. Through testing, it is concluded that the system can meet the actual demand

A Novel Sensory Data Processing Framework to Integrate Sensor Networks With Mobile Cloud

Taking advantage of the data gathering capability of wireless sensor networks (WSNs) as well as the data storage and processing ability of mobile cloud computing (MCC), WSN–MCC integration is attracting significant attention from both academia and industry. This paper focuses on processing of the sensory data in WSN–MCC integration, by identifying the critical issues concerning WSN–MCC integration and proposing a novel sensory data processing framework, which aims at transmitting desirable sensory data to the mobile users in a fast, reliable, and secure manner. The proposed framework could prolong the WSN lifetime, decrease the storage requirements of the sensors and the WSN gateway, and reduce the traffic load and bandwidth requirement of sensory data transmissions. In addition, the framework is capable of monitoring and predicting the future trend of the sensory data traffic, as well as improving its security. The framework further decreases the storage and processing overhead of the cloud, while enabling mobile users to securely obtain their desired sensory data faster. Analytical and experimental results are presented to demonstrate the effectiveness of the proposed framework.

Energy Efficient Traffic Allocation for Resource-constrained Multi-homed WSN Gateway

WSN (Wireless Sensor Network) gateway acts as a bridge between WSN and external networks. Currently, rapid growing demands from various IoTs (Internet of Things) applications are posing critical challenges to the data transmission capability of such gateway. As a promising solution, multi-homed WSN gateway, which is equipped with multiple network interfaces, can obtain enhanced parallel data transmission by jointly utilizing multiple RATs (Radio Access Technologies). However, the multi-homed gateway is a resource-constrained device, so it’s crucial to guarantee the efficiency for both data throughput and resource consumption. Delay and buffer size, simulation results validate that the proposed algorithm can allocate To this end, an energy efficient traffic allocation algorithm for resource-constrained multi-homed WSN gateway is proposed in this paper, which aims at minimizing the gateway's power consumption while guaranteeing the transmission the traffic optimally for the gateway with different constraints and configurations, and it can significantly promote the gateway's energy efficiency in comparison to the traditional method.

An Improved Reconstruction Algorithm Based on Compressed Sensing for Power Quality Analysis in Wireless Sensor Networks of Smart Grid

In recent years , the growing power quality problems in smart grid cause widespread concern at home and abroad . Because the traditional power quality algorithms which are based on Nyquist sampling theory have the drawbacks of complicated, heavy computations and poor real-time performance when sampling and analyzing continuous massive signals in smart grid. This paper discussed an improved reconstruction algorithm based on compressed sensing due to the sparsity of power quality signals in frequency domain for power quality analysis .By using the ZigBee wireless gateway for wireless sensor networks and energy metering chip, we develop a single meter node to do relative experiments. In the condition of the real test-bed and several compared experiments, power quality information in the highly compression ratio has good performance according to CSR (Compression Sampling Ratio), SNR (Signal to Noise Ratio), MSE (Mean Squared Error) and ERP (Energy Recovery Percentage) , and will be widely used in power quality analysis.

The Design of Wireless Sensor Network Gateway based on ZigBee and GPRS

This paper proposes a design of wireless sensor network gateways based on ARM to solve the poor performance of the network, and low efficiency of communication, which is caused by the poor computing capacity and limited bandwidth in wireless sensor network (WSN). The paper introduces the composition and characteristics of the gateways, and the design of their hardware and software. In this design, the data is transmitted by the network nodes to the gateways with the help of ZigBee near field communication (NFC) technology after its collection, and then the gateways transmit the data to the monitoring center through GPRS. It makes high performance of long distance transmission and the holding of gateways online come true.