Energy efficiency and energy balancing are crucial research issues as per routing protocol designing for self-organized wireless sensor networks (WSNs). Many literatures used the clustering algorithm to achieve balancing, however, there usually holes near cluster heads (CHs) because of heavy burden forwarding. As problem in lossy WSNs is proved be a NP-hard problem, many metaheuristic algorithms utilized solve problem. In this paper, special method called Centers Searching using Particle...

Recently, wireless sensor network (WSN) has drawn wide attention. It can be viewed as a with lots of sensors that are autonomously organized and cooperate each other to collect, process, transmit data around targets some remote administrative center. As such, may deployed in harsh environments where it is impossible for battery replacement. Therefore, energy efficient routing crucial applications introduce WSNs. In this paper, we present an schema combined clustering sink mobility...

Recently, Wireless sensor networks (WSNs) have become very popular research topics which are applied to many applications. They provide pervasive computing services and techniques in various potential applications for the Internet of Things (IoT). An Asynchronous Clustering Mobile Data Gathering based on Timer Mechanism (ACMDGTM) algorithm is proposed would mitigate problem “hot spots” among sensors enhance lifetime networks. The clustering process takes sensors’ location residual energy...

Numerous tiny sensors are restricted with energy for the wireless sensor networks since most of them deployed in harsh environments, and thus it is impossible battery re-change. Therefore, efficiency becomes a significant requirement routing protocol design. Recent research introduces data fusion to conserve energy; however, many do not present concrete scheme process. Emerging machine learning technology provides novel direction makes more available intelligent. In this article, we an...

Abstract In wireless sensor networks (WSNs), devices must be equipped with the capabilities of sensing, computation and communication. These work continuously through non-rechargeable batteries under harsh conditions, batter span nodes determines whole network lifetime. Network clustering adopts an energy neutral approach to extend life. The methods can divided into even uneven clustering. If is adopted, it will cause cluster head (CHs) in vicinity base station relay more data hole...

The recent Federal Communications Commission regulations for ultra-wideband (UWB) transmission systems have sparked a surge of research interests in the UWB technology. One important application areas is wireless sensor networks. proper operations many networks rely on knowledge physical locations. However, most existing localization algorithms developed are vulnerable to attacks hostile environments. As result, attackers can easily subvert normal functionalities location-dependent by...

As the reliability is a critical issue for new generation multi-level cell (MLC) flash memories, there growing call fast and compact error correction code (ECC) circuit with minimum impact on memory access time chip area. This paper presents high-throughput low-power ECC scheme MLC NAND memories. The BCH encoder decoder architecture features byte-wise processing low complexity key equation solver using simplified Berlekamp-Massey algorithm. Resource sharing power reduction techniques are...

Billions of devices are connected to the Internet Things (IoT). These generate a large volume data, which poses an enormous burden on conventional networking infrastructures. As effective computing model, edge is collaborative with cloud by moving part intensive computation and storage resources devices, thus optimizing network latency energy consumption. Meanwhile, software-defined networks (SDNs) technology promising in improving quality service (QoS) for complex IoT-driven applications....

Recently, rapid deployment on the fifth-generation (5G) networks has brought great opportunities for enabling data-intensive applications and brings an extending expectation developments of 6G. A basic requirement to develop 6G is reach data with low latency, cost, high coverage in smart Internet Things (IoT). Therefore, this article proposes a novel machine learning-based approach collect from multiple sensor devices by cooperation between vehicle unmanned aerial (UAV) IoT. First, genetic...

Sensor nodes equipped with various sensory devices can sense a wide range of information regarding human or things, thereby providing foundation for Internet Thing (IoT). Fast and energy-efficient data collection to the control center (CC) is significance yet very challenging. To deal this challenge, low redundancy (LRDC) scheme proposed reduce delay as well energy consumption monitoring network by using matrix completion technique. Due correlation location-dependent sensing data, some...

Advanced communications and networks greatly enhance the user experience have a major impact on all aspects of people's lifestyles. Widely deployed sensor nodes provide support for these services. However, although energy harvesting transfer technology provides solution to allow long-term survival wireless networks, single collection scheme causes lot waste. Thus, efficient utilization fast data are still serious challenges networks. To overcome challenges, an adaptive based matrix...

Abstract Mobile edge computing (MEC) is envisioned as a promising platform for supporting emerging computation‐intensive applications on capacity and resource constrained mobile devices (MDs). In this platform, the task with high demand can be offloaded to nodes computing. Moreover, result cached nodes. When other MDs request that has been cached, directly return MD. However, storage of limited, effective prediction caching scheme one key issues MEC. article, matrix completion technology...

Reconfigurable wireless network can flexibly provide efficient spectrum access service and keep stable operation in highly dynamic environment. In this paper, a primary-prioritized recurrent deep reinforcement learning algorithm for based on cognitive radio (CR) technology is proposed. The Markov state modeled to capture the evolution behavior achieve priority queuing of primary users secondary users. According strategies under different optimal criteria, we obtain best tradeoff benefits...

To strengthen the development of enterprises and optimize knowledge management strategies, current situation enterprise (EKM) is investigated evaluation indicators EKM strategies are analyzed. The specific structure principles neural network algorithms studied using big data. Finally, networks (NNs) technology used to evaluate calculate weight strategy application results show that with support data, use NNs can analyze not only but also different by enterprises. When analyzing collected...

Unmanned aerial vehicles (UAVs) are widely used as base stations (BSs) to provide flexible connectivity and coverage for ground users in various scenarios such disaster relief, traffic offloading, so on. Especially, UAV deployment is an important issue that directly affects the performance of network. In this paper, we propose a novel heuristic algorithm based three-dimensional (3-D) scheme while guaranteeing network both static dynamic user scenarios. For scenario, aim deploy minimum number...

Data aggregation is a widely adopted method to effectively reduce the data transmission volume and improve lifetime of wireless sensor networks (WSNs). In networks, some parameters directly determine delay aggregation. industrial applications, generated by different sensors have requirements for or other QoS performance. previous study, common strategy that all kinds aggregated into one frame when condition satisfied with requirement, which causes excessive energy consumption severely...

Background . Total flavonoids content (TFC) is one of the most important quality indexes Ginkgo biloba leaf, and it concerned with total antioxidant activity. Near-infrared spectroscopy (NIR) method has showed its advantages in fast, accurate, qualitative, quantitative analysis various components many control researches. In this study, a calibration model was built by partial least squares regression (PLSR) coupling NIR spectrum to quantitatively analyze TFC activity leaf. Results During...

The Internet of Things (IoT) is an important part the new generation information technology. It utilizes many sensor nodes to collect data and monitor environment can be applied in various fields. However, because energy limited batteries cannot replaced, lifetimes are by their batteries. Only a reasonable method for saving reduce loss communication process. Many studies have found that property battery-friendliness; is, if they continue working, drops rapidly. rest after working period...

Reducing energy consumption, increasing network throughput, and reducing delay are the pivot issues for wake-up radio- (WuR-) enabled wireless sensor networks (WSNs). In this paper, a relay selection joint consecutive packet routing (RS-CPR) scheme is proposed to reduce channel competition conflicts increase then end-to-end in data transmission WuR-enabled WSNs. The main innovations of RS-CPR as follows: (1) Relay selection: when selecting node routing, sender will select with highest...

Data collection is the basic functions of Internet Things (IoT), in which sensed data are concentrations from sensor nodes to sink, with a timely style, so smart response can be done for emergency. The goal multi-modal fusion obtain simple and accurate enhance system reliability fault tolerance. Energy efficiency small delay most important indicators govern performance IoT. Convergecast low-latency strategy based on effective time division multiple access (TDMA), each node generates packet,...