Monitoring System in Pig Farm Based on Improved Zigbee Tree Routing Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 861-864
Author(s):  
Wei Xing Zhu ◽  
Ai Ping Wang ◽  
Jian Fei Zhang ◽  
Yao Lu

In view of the fixed testing point and complex wiring in conventional piggery environment control, a new system based on wireless sensor network was designed. This system consisted of the control center with ARM-Linux, executing mechanism nodes and wireless sensor network containing the flexible sensor nodes which could be arbitrarily placed in piggery. In order to make reasonable use of the energy of Zigbee network and prolong the survival time, a improved zigbee tree routing algorithm was proposed. First of all, by analyzing the advantages and disadvantages of the Cluster-tree and AODVjr algorithm in the Zigbee protocol, the neighbor table was introduced into the improved algorithm. Secondly, the scope of the destination node was confirmed to control the radio range of the RREQ and prevented invalid RREQ flooding. Simulation results show that the improved algorithm optimized the overall energy consumption effectively, prolonged the time of the critical nodes, reduced the number of death nodes, balanced the network load and improved the overall performance of the network.

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4281
Author(s):  
Ngoc-Thanh Dinh ◽  
Younghan Kim

Wireless sensor network (WSN) studies have been carried out for multiple years. At this stage, many real WSNs have been deployed. Therefore, configuration and updating are critical issues. In this paper, we discuss the issues of configuring and updating a wireless sensor network (WSN). Due to a large number of sensor nodes, in addition to the limited resources of each node, manual configuring turns out to be impossible. Therefore, various auto-configuration approaches have been proposed to address the above challenges. In this survey, we present a comprehensive review of auto-configuration mechanisms with the taxonomy of classifications of the existing studies. For each category, we discuss and compare the advantages and disadvantages of related schemes. Lastly, future works are discussed for the remaining issues in this topic.


2018 ◽  
Vol 14 (06) ◽  
pp. 58 ◽  
Author(s):  
Ren Song ◽  
Zhichao Xu ◽  
Yang Liu

<p class="0abstract"><span lang="EN-US">To solve the defect of traditional node deployment strategy, the improved <a name="_Hlk502130691"></a>fruit fly algorithm was combined with wireless sensor network. The optimization of network coverage was implemented. </span><span lang="EN-US">Based on a new type of intelligent algorithm, the change step of fruit fly optimization algorithm (CSFOA)</span><span lang="EN-US">was proposed. At the same time, the mathematical modeling of two network models was carried out respectively. The grid coverage model was used. The network coverage and redundancy were transformed into corresponding mathematical variables by means of grid partition.</span><span lang="EN-US">Among them, the maximum effective radius of sensor nodes was fixed in mobile node wireless sensor network. The location of nodes was randomly cast. The location of sensor nodes was placed in fixed position nodes. The effective radius of nodes can be changed dynamically.</span><span lang="EN-US">Finally, combined with the corresponding network model, the improved algorithm was applied to wireless sensor network.</span><span lang="EN-US">The combination of the optimal solution of the node position and the perceptual radius was found through the algorithm. The maximum network coverage was achieved.</span><span lang="EN-US">The two models were simulated and verified. The results showed that the improved algorithm was effective and superior to the coverage optimization of wireless sensor networks.</span></p>


Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3978 ◽  
Author(s):  
Shiming He ◽  
Yangning Tang ◽  
Zhuozhou Li ◽  
Feng Li ◽  
Kun Xie ◽  
...  

The main challenges of sensing in harsh industrial and biological environments are the limited energy of sensor nodes and the difficulty of charging sensor nodes. Simultaneous wireless information and power transfer (SWIPT) is a non-invasive option to replenish energy. SWIPT harvests energy and decodes information from the same RF signal, which is influencing the design of a wireless sensor network. In multi-hop multi-flow wireless sensor networks, interference generally exists, and the interference has a different influence on SWIPT. Route, interference and SWIPT are dependent. However, existing works consider SWIPT link resource allocation with a given route or only select path for one flow without interference. Therefore, this paper firstly analyzes the influence of interference on SWIPT, and select the SWIPT routing with interference. We design an interference-based information and energy allocation model to maximize the link capacity with SWIPT. Then, we design an interference-aware route metric, formulate SWIPT routing problem, and design an interference-aware SWIPT routing algorithm. The simulation results show that as the number of flows increases, there is more likely to obtain performance gains from interference and SWIPT.


In the recent field of research the wireless sensor network plays an important role. Wireless sensor network is an important technology in this era. A Wireless Sensor Network (WSN) is a distributed network contains enormous sensor nodes with wide range of application. It transmits unlimited and enormous data like image, video, audio and data through end to end network. WSNs offer much solution to remote real time monitoring, recognition of physical occurrence and target tracking applications. This network growth is increasingly rapidly day by day and made the research field in difficult resurgence. The extended network lifetime, effective load balancing and scalability are essential for WSNs. The life time of the wireless network can be extended by the concept of clustering .Clustering is process of grouping the smaller localized networks in highly structured way. Diverse cluster technology available based on the network the clustering concept will be used. Efficient routing algorithm provide the way for efficient usage of bandwidth and reduce the delay in the network . This paper provides the survey of clustering and routing protocols to improve the efficiency in wireless technology in recent years


Wireless Sensor Network (WSN) is a huge collection of sensor nodes deployed without any predetermined infrastructure. They are powered by batteries and energy consumption is one of the major issues in WSN. Hence to prolong the lifetime of the networks, it is important to design the energy efficient optimized routing algorithm. In this paper, two hop forwarding scheme in AODV and Fuzzy Logic is proposed to find an optimal routing protocol and intermediate node acknowledgement is deducted by the use of Fuzzy rules. The parameters such as remaining energy, data packet transmission, packet received acknowledgement and number of rounds is given as input to the fuzzy system which gives an optimized routing decision. The efficacy of the proposed algorithm is evaluated using NS2 and compared with Fuzzy-based Energy-Aware Routing Mechanism (FEARM). The simulation results shows that the Fuzzy based AODV routing algorithm reduces the energy consumption, minimizes the routing response packets and improves the network life time compared to other similar routing protocols.


2013 ◽  
Vol 411-414 ◽  
pp. 716-720
Author(s):  
Lei Sang ◽  
Duo Long

Routing protocol is mainly responsible for seeking optimized path between source node and destination node and forwarding data package along the optimized path in a right way, which is a core link in wireless sensor network. In this thesis, a research on WSN routing algorithm based on ant-colony algorithm is done, targeting the features of WSN and on the basis of the analysis of classic routing protocol. Comparison and analysis of the path and convergence rate of cluster head node are done by means of emulated analysis, which is to some extent innovative and significant to research.


2017 ◽  
Vol 6 (1) ◽  
pp. 81-87
Author(s):  
Rakesh Kumar Saini ◽  
Ritika Ritika ◽  
Sandip Vijay

Wireless sensor network consists various sensor nodes that are used to monitor any target area like forest fire detection by our army person and monitoring any industrial activity by industry manager. Wireless sensor networks have been deployed in several cities to monitor the concentration of dangerous gases for citizens. In wireless sensor network when sensor nodes communicate from each other then routing protocol are used for communication between protocol layers. Wireless sensor network protocol stack consist five layers such as Application layer, Transport layer, Network layer, MAC Layer, Physical layer. In this paper we study and analysis Bellman-Ford routing algorithm and check the flow of data between these protocol layers. For simulation purpose we are using Qualnet 5.0.2 simulator tool.


2019 ◽  
Vol 14 (4) ◽  
pp. 503-517 ◽  
Author(s):  
Wei Hu ◽  
Huanhao Li ◽  
Wenhui Yao ◽  
Yawei Hu

This paper attempts to solve the problems of uneven energy consumption and premature death of nodes in the traditional routing algorithm of rechargeable wireless sensor network in the ubiquitous power Internet of things. Under the application environment of the UPIoT, a multipath routing algorithm and an opportunistic routing algorithm were put forward to optimize the network energy and ensure the success of information transmission. Inspired by the electromagnetic propagation theory, the author constructed a charging model for a single node in the wireless sensor network (WSN). On this basis, the network energy optimization problem was transformed into the network lifecycle problem, considering the energy consumption of wireless sensor nodes. Meanwhile, the traffic of each link was computed through linear programming to guide the distribution of data traffic in the network. Finally, an energy optimization algorithm was proposed based on opportunistic routing, in a more realistic low power mode. The experimental results show that the two proposed algorithms achieved better energy efficiency, network lifecycle and network reliability than the shortest path routing (SPR) and the expected duty-cycled wakeups minimal routing (EDC). The research findings provide a reference for the data transmission of UPIoT nodes.


2013 ◽  
Vol 462-463 ◽  
pp. 112-117 ◽  
Author(s):  
Guang Cai Cui ◽  
Shan Shan Wang ◽  
Jing Jing Fang

According to real-time and limited energy of the wireless sensor network (WSN), this paper proposed an ant-colony algorithm (ACO) for optimal routing. The algorithm limited the search space to next node based on search angle and designed directional pheromones to guide ants to the destination node. Using negative feedback mechanism encouraged later ants to choose the optimal path. When ants are timeout with limited life cycle, go back along the way and reduce the pheromone. Probability-transfer function contained the factors of distance, energy, pheromones and search angle. Compared with other ACOs, the results show that it can balance the energy consumption and improve the routing in aspects of energy, dead nodes, short path and time delay.


JURNAL ELTEK ◽  
2019 ◽  
Vol 17 (1) ◽  
pp. 1
Author(s):  
Mochammad Junus

Wireless Sensor Network merupakan jaringan komputer terdistribusi yang memanfaatkan sejumlah node sensor berukuran kecil, dikembangkan dan dikonfigurasikan dalam sekala besar untuk membantu pemindaian terhadap lingkungan sekitar, memanfaatkan parameter pengukuran berupa temperatur, tekanan, suhu, gerakan atau entitas lainnya yang diketahui oleh manusia. Umumnya implementasi WSN di lapangan adalah masalah keterbatasan sumber daya untuk energi yang digunakan oleh setiap sensor node di dalamnya Hal ini menjadikan node-node sensor harus mampu bekerja dengan cepat dan maksimal, dengan sumber energi yang terbatas.Pada penelitian sebelumnya dengan melakukan penghematan daya menggunakan mekanisme sleep Namun pada penelitian tersebut masih terdapat kekurangan yakni kurang efektifnya penggunaan hanya satu modul sensor pada sebuah sensor node. Di sisi lain kebutuhan dalam pengaplikasian pada suatu wilayah tidak cukup hanya dengan menggunakan satu buah modul sensor. Akan tetapi dengan jumlah node yang banyak maka diperlukan metode komunikasi antar node agar data pengiriman tiap node tidak saling bertabrakan dan manajemen penggunaan energi yang lebih efisien. Adapun beberapa metode yangdapat diterapkan antara lain adalah metode Round Robin dan Multi-hop.Dengan membandingkan kedua metode tersebut dapat diketahui keunggulan dan kelemahan dari masing-masing metode. Hasil pengujian yang telah dilakukan dengan mengisi penuh baterai 9V untuk semua node dan digunakan sampai habis. Pada metode Multihop komunikasi antara master node dan semua sensor node berlangsung dengan jeda pengiriman tiap node satu detik berlangsung selama 9 menit 36 detik dengan packet loss 54% pada lokasi outdoor dan 7 menit 45 detik dengan packet loss 54,25% pada lokasi indoor. Lama proses komunikasi ditentukan oleh umur daya dari sensor node 1. Sedangkan dengan menggunakan metode RoundRobin komunikasi terus berlangsung hingga 27 menit 59 detik dengan packet loss 27,40% untuk lokasi outdoor dan25 menit 16 detik untuk lokasi indoor dengan packet loss 28,14%. Wireless Sensor Network is a distributed computer network that utilizes a number of small sensor nodes, developed and configured in large scale to help scan the surrounding environment, utilizing measurement parameters in the form of temperature, pressure, temperature, movement or other entities known to humans. Generally WSN implementation in the field is a matter of limited resources for the energy used by each sensor node in it. This makes sensor nodes must be able to work quickly and maximally, with limited energy sources.In previous studies with power saving using sleep mechanism, in this study there were still deficiencies, namely the ineffectiveness of using only one sensor module on a sensor node. On the other hand, the need for application in an area is not enough using only one sensor module.However, with a large number of nodes, a method of communication between nodes is needed so that the sending data of each node does not collide with each other and more efficient energy use management. The several methods that can be applied include the Round Robin and Multihop methods. By comparing the two methods can be known the advantages and disadvantages of each method.The test results have been carried out by fully filling the 9V battery for all nodes and used up. In the Multihop method the communication between the master node and all sensor nodes takes place with each node sending a second delay lasting 9 minutes 36 seconds with 54% packet loss at the outdoor location and 7 minutes 45 seconds with 54.25% packet loss at the indoor location. The length of the communication process is determined by the power age from sensor node 1. While using RoundRobin method the communication continues up to 27 minutes 59 seconds with packet loss 27.40% for outdoor locations and 25 minutes 16 seconds for indoor locations with packet loss 28.14%.


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