Log in

Relevant bibliographies by topics / Wireless Data Collection / Journal articles

To see the other types of publications on this topic, follow the link: Wireless Data Collection.

Journal articles on the topic 'Wireless Data Collection'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Wireless Data Collection.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Dohare, Anand, Tulika, and Mallikarjuna B. "Data Collection in Wireless Sensor Networks Using Prediction Method." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 815–20. http://dx.doi.org/10.5373/jardcs/v11/20192637.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Kumar, N. B. S. Vijay, D. Venkatesh D. Venkatesh, and K. Ramesh K. Ramesh. "Rapid Data Collection in Wireless Sensor Networks Organized as Trees." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 223–26. http://dx.doi.org/10.15373/22778179/may2013/74.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Tapia, Andrea, and Carleen Maitland. "WIRELESS DEVICES FOR HUMANITARIAN DATA COLLECTION." Information, Communication & Society 12, no. 4 (June 2009): 584–604. http://dx.doi.org/10.1080/13691180902857637.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

patel, Shubham. "DATA COLLECTION IN WIRELESS SENSOR NETWORKS." International Journal of Recent Advancement in Engineering & Research 2, no. 5 (May 14, 2017): 23. http://dx.doi.org/10.24128/ijraer.2017.ij9de.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Li, Kai, Wei Ni, Lingjie Duan, Mehran Abolhasan, and Jianwei Niu. "Wireless Power Transfer and Data Collection in Wireless Sensor Networks." IEEE Transactions on Vehicular Technology 67, no. 3 (March 2018): 2686–97. http://dx.doi.org/10.1109/tvt.2017.2772895.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

A.Dharmadhikari, Pramod, B. M. Patil, and V. M. Chandode. "Reliable Data Collection in Wireless Sensor Networks." International Journal of Computer Applications 61, no. 18 (January 18, 2013): 32–37. http://dx.doi.org/10.5120/10031-5075.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Ayars, Eric, and Estella Lai. "Using XBee transducers for wireless data collection." American Journal of Physics 78, no. 7 (July 2010): 778–81. http://dx.doi.org/10.1119/1.3427415.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Han, Xiao Wei, Jing Lin Duan, and Jian Zhang. "Design of Environmental Monitoring Data Collection Repeater." Advanced Materials Research 955-959 (June 2014): 1112–15. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1112.

Full text

Abstract:

A data collection repeater based on ARM Cortex-M3 core for environmental monitoring is introduced in this paper. The chip STM32 is used as CPU processor, CC2530 module as a sink node of Wireless Sensor Networks, the collected data is sent to monitoring center by GPRS network. Integration of WSN, ARM and GPRS, the collection of environmental parameters and capability of wireless transmission are achieved in low-power conditions. Hardware structure and application program of the repeater are given.

APA, Harvard, Vancouver, ISO, and other styles

9

Nandha kumar, R. "An Efficient Data Collection Protocol in Wireless Networks." International Journal of Ad hoc, Sensor & Ubiquitous Computing 3, no. 4 (August 31, 2012): 11–19. http://dx.doi.org/10.5121/ijasuc.2012.3402.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

B, Nandhini, and Srie Vidhya Janani E. "ENERGY EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORK." ICTACT Journal on Communication Technology 04, no. 03 (September 1, 2013): 796–801. http://dx.doi.org/10.21917/ijct.2013.0113.

Full text

APA, Harvard, Vancouver, ISO, and other styles

11

Amiri, Ali. "The Data Collection Problem in Wireless Sensor Networks." International Journal of Sensors Wireless Communications and Control 3, no. 2 (May 31, 2014): 67–77. http://dx.doi.org/10.2174/221032790302140505094825.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Liaojun, Pang, Li Huixian, Pei Qingqi, Liu Nengbin, and Wang Yumin. "Fair data collection scheme in wireless sensor networks." China Communications 10, no. 2 (February 2013): 112–20. http://dx.doi.org/10.1109/cc.2013.6472863.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Wang, Chao, Huadong Ma, Yuan He, and Shuguang Xiong. "Adaptive Approximate Data Collection for Wireless Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 23, no. 6 (June 2012): 1004–16. http://dx.doi.org/10.1109/tpds.2011.265.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

Liu, Xiao-Yang, Yanmin Zhu, Linghe Kong, Cong Liu, Yu Gu, Athanasios V. Vasilakos, and Min-You Wu. "CDC: Compressive Data Collection for Wireless Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 26, no. 8 (August 1, 2015): 2188–97. http://dx.doi.org/10.1109/tpds.2014.2345257.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Anisi, Mohammad Hossein, Abdul Hanan Abdullah, and Shukor Abd Razak. "Energy-Efficient Data Collection in Wireless Sensor Networks." Wireless Sensor Network 03, no. 10 (2011): 329–33. http://dx.doi.org/10.4236/wsn.2011.310036.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Zheng, Xu, Ran Bi, and Guozhen Tan. "Accuracy-aware Data Collection in Wireless Sensor Networks." International Journal of Sensor Networks 1, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijsnet.2017.10007416.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Bi, Ran, Xu Zheng, and Guozhen Tan. "Accuracy-aware data collection in wireless sensor networks." International Journal of Sensor Networks 28, no. 3 (2018): 149. http://dx.doi.org/10.1504/ijsnet.2018.096260.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Liu, Anfeng, Lin X. Cai, Tom H. Luan, and Ajith Ranabahu. "QoS-Aware Data Collection in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 11, no. 12 (January 2015): 769083. http://dx.doi.org/10.1155/2015/769083.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Xiaojie, Zang, and Ren Wenxin. "Wireless Sensor Network Based on Airport Noise Data Collection System." Open Electrical & Electronic Engineering Journal 8, no. 1 (September 16, 2014): 90–93. http://dx.doi.org/10.2174/1874129001408010090.

Full text

Abstract:

For the requirements of multipoint real-time data collection and transmission in the noise monitoring of current civil aviation airport, the design and implementation of noise data collection system based on wireless sensor network is discussed. The collection system is composed of ZigBee wireless sensor network in the airport and ARM noise data control module. Monitoring personnel can get airport noise data collected by ZigBee wireless sensor network through RS232 serial communication between ARM platform and ZigBee network coordinator.

APA, Harvard, Vancouver, ISO, and other styles

20

Djedouboum, Asside, Ado Abba Ari, Abdelhak Gueroui, Alidou Mohamadou, and Zibouda Aliouat. "Big Data Collection in Large-Scale Wireless Sensor Networks." Sensors 18, no. 12 (December 18, 2018): 4474. http://dx.doi.org/10.3390/s18124474.

Full text

Abstract:

Data collection is one of the main operations performed in Wireless Sensor Networks (WSNs). Even if several interesting approaches on data collection have been proposed during the last decade, it remains a research focus in full swing with a number of important challenges. Indeed, the continuous reduction in sensor size and cost, the variety of sensors available on the market, and the tremendous advances in wireless communication technology have potentially broadened the impact of WSNs. The range of application of WSNs now extends from health to the military field through home automation, environmental monitoring and tracking, as well as other areas of human activity. Moreover, the expansion of the Internet of Things (IoT) has resulted in an important amount of heterogeneous data that are produced at an exponential rate. Furthermore, these data are of interest to both industry and in research. This fact makes their collection and analysis imperative for many purposes. In view of the characteristics of these data, we believe that very large-scale and heterogeneous WSNs can be very useful for collecting and processing these Big Data. However, the scaling up of WSNs presents several challenges that are of interest in both network architecture to be proposed, and the design of data-routing protocols. This paper reviews the background and state of the art of Big Data collection in Large-Scale WSNs (LS-WSNs), compares and discusses on challenges of Big Data collection in LS-WSNs, and proposes possible directions for the future.

APA, Harvard, Vancouver, ISO, and other styles

21

Materuhin, A. V., V. V. Shakhov, and O. D. Sokolova. "Spatial-temporal data collection process models using mobile sinks." Geodesy and Cartography 942, no. 12 (January 20, 2019): 22–28. http://dx.doi.org/10.22389/0016-7126-2018-942-12-22-28.

Full text

Abstract:

Optimization of energy consumption in geosensor networks is a very important factor in ensuring stability, since geosensors used for environmental monitoring have limited possibilities for recharging batteries. The article is a concise presentation of the research results in the area of increasing the energy consumption efficiency for the process of collecting spatio-temporal data with wireless geosensor networks. It is shown that in the currently used configurations of geosensor networks there is a predominant direction of the transmitted traffic, which leads to the fact that through the routing nodes that are close to the sinks, a much more traffic passes than through other network nodes. Thus, an imbalance of energy consumption arises in the network, which leads to a decrease in the autonomous operation time of the entire wireless geosensor networks. It is proposed to use the possible mobility of sinks as an optimization resource. A mathematical model for the analysis of the lifetime of a wireless geosensor network using mobile sinks is proposed. The model is analyzed from the point of view of optimization energy consumption by sensors. The proposed approach allows increasing the lifetime of wireless geosensor networks by optimizing the relocation of mobile sinks.

APA, Harvard, Vancouver, ISO, and other styles

22

Xingna, Hou, Ma Jun, Chen Shouhong, and Tao Daiyu. "Design of data collection box based on NRF24L01." MATEC Web of Conferences 173 (2018): 01006. http://dx.doi.org/10.1051/matecconf/201817301006.

Full text

Abstract:

For the increasingly demanding of real-time temperature monitoring in industrial and, agricultural production, a data collection box based on wireless communication module NRF24L01 is, designed, temperature is collected by a high-precision temperature sensor AD590.Design method of hardware and software of the system is described in detail, the configuration method of NRF24L01 is given., The application of this design in wireless temperature collection system is discussed.The experimental result shows that the design has realized two real-time monitoring on temperature of two points, it can display the, value in different environment, a sounder is equipped in the design to alarm for over-temperature.

APA, Harvard, Vancouver, ISO, and other styles

23

Romaniuk, Anton, and Andre Samberg. "DIRECT DATA COLLECTION METHOD BY TELECOMMUNICATIONS AERIAL PLATFORMS FROM THE WIRELESS SENSOR NETWORK NODES." Information and Telecommunication Sciences, no. 1 (June 29, 2021): 12–23. http://dx.doi.org/10.20535/2411-2976.12021.12-23.

Full text

Abstract:

Background. To collect monitoring data from the nodes of the wireless sensor network in the absence of public telecommunications infrastructure, it is proposed to use telecommunications aerial platforms (TA), built on the basis of UAVs. Each telecommunication aerial platform acts as a mobile gateway, dynamically creates virtual clusters in the network, determines the data collection points in the clusters and their flight paths, forms a schedule and exchanges data with cluster nodes depending on their location coordinates relative to the TA flight path, battery power level and volume of monitoring data. Objective. The aim of the paper is to improve the efficiency of data collection from wireless sensor network nodes by telecommunication aerial platforms. Methods. Unlike existing data collection methods, the proposed method: uses the FOREL (FORmal ELement) cluster analysis method for clustering the network, new rules for selecting data collection points and rules for data transmission between TA and cluster nodes to achieve the specified target control functions: minimization of TA data collection time, maximization of network operation time, minimization of used TA. Results. The proposed monitoring data collecting method by TA from the nodes of the wireless sensor network allows increasing the efficiency of achieving a given target control function (reduce the time of data collection, increase the time of network operation, reduce the number of telecommunication aerial platforms used). Conclusions. The implementation of the proposed method into the specialized software of the wireless sensor network control system will improve the efficiency of the sensor node data collection process by telecommunication aerial platforms. Keywords: wireless sensor network; data collection method; network clustering; telecommunication aerial platform.

APA, Harvard, Vancouver, ISO, and other styles

24

Zhang, Shu Qin, Yan Cui, Zhi Yong Dong, and Yue Jun Dong. "A Communication Framework for WSN Based Data Collection Applications." Applied Mechanics and Materials 40-41 (November 2010): 482–87. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.482.

Full text

Abstract:

Wireless sensor networks (WSNs) have emerged as an effective solution for some data collection situations. However, owing to combining massively distributed data processing on embedded devices with ad-hoc communication over the wireless medium, WSNs are a challenging domain for application development. In this paper, a communication framework for data collection applications is presented. It provides an adaptive data transport protocol, multi-application running environment, nodes binding mechanisms, which facilitate the development of application systems, and reduces the cost of design and maintain.

APA, Harvard, Vancouver, ISO, and other styles

25

G.Santhi, S., and R. Ramya R.Ramya. "Clustering based Data Collection using Data Fusion in Wireless Sensor Networks." International Journal of Computer Applications 116, no. 9 (April 22, 2015): 21–26. http://dx.doi.org/10.5120/20364-2569.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

Wu, Xiuchao, Kenneth N. Brown, and Cormac J. Sreenan. "Data Pre-Forwarding for Opportunistic Data Collection in Wireless Sensor Networks." ACM Transactions on Sensor Networks 11, no. 1 (November 7, 2014): 1–33. http://dx.doi.org/10.1145/2629369.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

KDeshmukh, Pradeep, Suruchi S Nannaware, and Rajashri Deshmukh. "Reliable Data Collection in EWSN based Wireless Sensor Network." International Journal of Computer Applications 84, no. 13 (December 18, 2013): 25–29. http://dx.doi.org/10.5120/14637-1912.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Tran-Thanh, Long, and János Levendovszky. "Efficient delay-constraint data collection in wireless sensor networks." Periodica Polytechnica Electrical Engineering 55, no. 1-2 (2011): 81. http://dx.doi.org/10.3311/pp.ee.2011-1-2.09.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Habib, Sami J., and Paulvanna N. Marimuthu. "Management Scheme for Data Collection within Wireless Sensor Networks." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 2 (April 2012): 59–76. http://dx.doi.org/10.4018/jaras.2012040104.

Full text

Abstract:

This paper proposes a data management scheme which employs an energy constrained algorithm selecting between direct and multi-hop transmissions autonomously based on the residual energy level of the individual sensors. The proposed data management scheme rules out the selection of hotspot sensors, the sensors located closer to the base stations, as the intermediate sensors to avoid the dying of these sensors. In each data transmission, the scheme selects one of the neighborhood sensors having minimal Euclidean distance and maximum energy-level as the intermediate node from the neighboring set, without repeating the selection. The proposed data management scheme manages the data collection by utilizing two scheduling algorithms; as soon as possible (ASAP) and as late as possible (ALAP). As a measure of performance, the simulation results of the data management scheme have been compared with that of minimum connected dominating set algorithm (MCDS). The simulation results demonstrate that the data management scheme outperforms with respect to consume less energy; moreover, it can be observed that the scheme finishes an overall short waiting time of the selected sensors compared to the direct transmission in transmitting the data to the base station. The robustness of the proposed scheme is tested by varying the network sizes and varying the sensing radii.

APA, Harvard, Vancouver, ISO, and other styles

30

Gautam, Nidhi, Sanjeev Sofat, and Renu Vig. "Data collection model for energy-efficient wireless sensor networks." annals of telecommunications - annales des télécommunications 70, no. 11-12 (July 25, 2015): 501–11. http://dx.doi.org/10.1007/s12243-015-0471-x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Zingler, M., P. Fischer, and J. Lichtenegger. "Wireless field data collection and EO–GIS–GPS integration." Computers, Environment and Urban Systems 23, no. 4 (July 1999): 305–13. http://dx.doi.org/10.1016/s0198-9715(99)00027-7.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Chen, Siyuan, Minsu Huang, Shaojie Tang, and Yu Wang. "Capacity of Data Collection in Arbitrary Wireless Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 23, no. 1 (January 2012): 52–60. http://dx.doi.org/10.1109/tpds.2011.96.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Gao, Hong, Xiaolin Fang, Jianzhong Li, and Yingshu Li. "Data Collection in Multi-Application Sharing Wireless Sensor Networks." IEEE Transactions on Parallel and Distributed Systems 26, no. 2 (February 2015): 403–12. http://dx.doi.org/10.1109/tpds.2013.289.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Durmaz Incel, Ozlem, A. Ghosh, B. Krishnamachari, and K. Chintalapudi. "Fast Data Collection in Tree-Based Wireless Sensor Networks." IEEE Transactions on Mobile Computing 11, no. 1 (January 2012): 86–99. http://dx.doi.org/10.1109/tmc.2011.22.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Rey, David, Khaled Almi'ani, Anastasios Viglas, Lavy Libman, and S. Travis Waller. "Transit Route Design Solved with Wireless Data Collection Algorithms." Transportation Research Record: Journal of the Transportation Research Board 2466, no. 1 (January 2014): 42–51. http://dx.doi.org/10.3141/2466-05.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Hamid, Abdul. "Provisioning Fairness for Data Collection in Wireless Sensor Networks." IETE Technical Review 27, no. 4 (2010): 326. http://dx.doi.org/10.4103/0256-4602.64603.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Kim, Ryangsoo, Jinho Choi, and Hyuk Lim. "Channel-aware repetitive data collection in wireless sensor networks." International Journal of Communication Systems 30, no. 7 (June 5, 2015): e2999. http://dx.doi.org/10.1002/dac.2999.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Reddy, Vemula Manohar, Min Kyung An, and Hyuk Cho. "An Improved Data Collection Algorithm for Wireless Sensor Networks." International Journal of Interdisciplinary Telecommunications and Networking 11, no. 2 (April 2019): 12–23. http://dx.doi.org/10.4018/ijitn.2019040102.

Full text

Abstract:

This article studies the minimum latency collection scheduling (MLCS) problem in wireless sensor networks (WSNs). The MLCS problem targets to compute a schedule with minimum number of timeslots that guarantees to collect data from all nodes to a sink node without any collision. Several scheduling algorithms have been proposed for the NP-hard problem, and they assign timeslots based on hop distances among nodes. The proposed algorithm not only uses hop distances, but also partitions a network into square cells and assign timeslots based on cell distances among nodes. The latency performance of the proposed algorithm is compared with an existing algorithm whose approximation ratio is currently the best, and the simulations show that the proposed algorithm performs better.

APA, Harvard, Vancouver, ISO, and other styles

39

Chen, Jinbiao, Yongcai Wang, Yuexuan Wang, and Changjian Hu. "Stair Scheduling for Data Collection in Wireless Sensor Networks." International Journal of Distributed Sensor Networks 9, no. 4 (April 2013): 124786. http://dx.doi.org/10.1155/2013/124786.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Fu, Wei. "Research on Data Collection based on Wireless Sensor Networks." International Journal of Future Generation Communication and Networking 9, no. 2 (February 28, 2016): 113–22. http://dx.doi.org/10.14257/ijfgcn.2016.9.2.12.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Garg, Harsha. "Fast Data Collection in Ring Based Wireless Sensor Network." International Journal of Computer Trends and Technology 20, no. 2 (February 25, 2015): 74–77. http://dx.doi.org/10.14445/22312803/ijctt-v20p115.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Wang, Feng, and Jiangchuan Liu. "Networked Wireless Sensor Data Collection: Issues, Challenges, and Approaches." IEEE Communications Surveys & Tutorials 13, no. 4 (2011): 673–87. http://dx.doi.org/10.1109/surv.2011.060710.00066.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Cohen, Alejandro, Asaf Cohen, and Omer Gurewitz. "Efficient Data Collection Over Multiple Access Wireless Sensors Network." IEEE/ACM Transactions on Networking 28, no. 2 (April 2020): 491–504. http://dx.doi.org/10.1109/tnet.2020.2964764.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Guo, Longjiang, Jianzhong Li, Zhipeng Cai, and Meirui Ren. "Data Collection with Probabilistic Guarantees in Opportunistic Wireless Networks." International Journal of Sensor Networks 1, no. 1 (2015): 1. http://dx.doi.org/10.1504/ijsnet.2015.10001241.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Ren, Meirui, Jianzhong Li, Longjiang Guo, and Zhipeng Cai. "Data collection with probabilistic guarantees in opportunistic wireless networks." International Journal of Sensor Networks 24, no. 2 (2017): 125. http://dx.doi.org/10.1504/ijsnet.2017.084655.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Deng, H., B. Zhang, and J. Zheng. "Rate-constrained uniform data collection in wireless sensor networks." IET Communications 5, no. 10 (July 1, 2011): 1343–50. http://dx.doi.org/10.1049/iet-com.2010.0100.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Di Francesco, Mario, Sajal K. Das, and Giuseppe Anastasi. "Data Collection in Wireless Sensor Networks with Mobile Elements." ACM Transactions on Sensor Networks 8, no. 1 (August 2011): 1–31. http://dx.doi.org/10.1145/1993042.1993049.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Liu, Ren-Shiou, and Yen-Chen Chen. "Robust data collection for energy-harvesting wireless sensor networks." Computer Networks 167 (February 2020): 107025. http://dx.doi.org/10.1016/j.comnet.2019.107025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Lasheng, Yu, Li Jie, and Liu Renjie. "An effective data collection algorithm for wireless sensor network." Computing 95, no. 9 (December 11, 2012): 723–38. http://dx.doi.org/10.1007/s00607-012-0249-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

Kaur, Chamanpreet, and Vikramjit Singh. "A REVIEW ON DATA COLLECTION USING MOBILE NODES IN WSN." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 16, no. 5 (July 20, 2017): 6926–32. http://dx.doi.org/10.24297/ijct.v16i5.6263.

Full text

Abstract:

Wireless sensor networks have become increasingly popular due to their wide range of application. Clustering sensor nodes organizing them hierarchically have proven to be an effective method to provide better data aggregation and scalability for the sensor network while conserving limited energy. Minimizing the energy consumption of a wireless sensor network application is crucial for effective realization of the intended application in terms of cost, lifetime, and functionality. However, the minimizing task is hardly possible as no overall energy cost function is available for optimization. The need for energy-efficient infrastructures for sensor networks is becoming increasingly important. Wireless sensor networks are networks consisting of many sensor nodes that communicate over a wireless media. A sensor node is equipped with a sensor module, a processor, a radio module and a battery. Since the battery limits the lifetime of the sensor nodes it also limits the lifetime of the sensor network, thus energy efficiency is a major issue for sensor networks. An important goal in many sensor networks is to monitor an area as long time as possible. Hence, it is important to distribute energy consumption evenly across the network. When the energy consumption is evenly distributed, the major part of the sensor nodes will stay alive approximately equally long time.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!