A survey on routing protocols in Wireless Sensor Networks

Patil, Mallanagouda; Biradar, Rajashekhar C.

doi:10.1109/icon.2012.6506539

Cited by 72 publications

(35 citation statements)

References 17 publications

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“…Although WSN faces the challenges of energy consumption most especially at the application level, a number of protocols have been studied to improve WSN in this area (Patil & Biradar, 2012). The wide adoption of WSN can improve communication and businesses in a smart environment.…”

Section: Wsnmentioning

confidence: 99%

The role of big data in smart city

Hashem

Chang

Anuar

et al. 2016

International Journal of Information Management

871

395

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The expansion of big data and the evolution of Internet of Things (IoT) technologies have played an important role in the feasibility of smart city initiatives. Big data offer the potential for cities to obtain valuable insights from a large amount of data collected through various sources, and the IoT allows the integration of sensors, radiofrequency identification, and Bluetooth in the real-world environment using highly networked services. The combination of the IoT and big data is an unexplored research area that has brought new and interesting challenges for achieving the goal of future smart cities. These new challenges focus primarily on problems related to business and technology that enable cities to actualize the vision, principles, and requirements of the applications of smart cities by realizing the main smart environment characteristics. In this paper, we describe the existing communication technologies and smart-based applications used within the context of smart cities. The visions of big data analytics to support smart cities are discussed by focusing on how big data can fundamentally change urban populations at different levels. Moreover, a future business model that can manage big data for smart cities is proposed, and the business and technological research challenges are identified. This study can serve as a benchmark for researchers and industries for the future progress and development of smart cities in the context of big data.

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Section: Wsnmentioning

confidence: 99%

The role of big data in smart city

Hashem

Chang

Anuar

et al. 2016

International Journal of Information Management

871

395

View full text Add to dashboard Cite

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“…Furthermore, by applying K-means it does consider the energy of sensor nodes for deciding the centroids. Thus a substantial quantity of energy depletion occurs for CH nodes which eventually have an effect on the network lifetime [8].…”

Section: Balanced Parallel K-means (Bpk-means)mentioning

confidence: 99%

“…Larger amount of power or energy of network is used for transmission of data signals [7]. Routing protocols for WSN is dependent on different classification conditions such as data centric, hierarchical, location based, negotiation based, multipath based, quality of service and mobility [8]. A little description of following is given below:…”

Section: Routing Protocols In Wsnmentioning

confidence: 99%

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Clustering Techniques in Wireless Sensor Network: A Review

Kaur¹,

Kad²

2017

IJCA

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Wireless sensor system includes hundreds to thousands of sensor nodes that helps in collecting different information including temperature, sound, area, etc. It's generally difficult to recharge or change the sensor nodes which may have confined battery capacity. Energy efficiency is therefore a key problem in sustaining the network. Certainly one of the most used alternatives to make WSNs energy-efficient is to cluster the networks. Various clustering techniques are accustomed to effectively optimize or enhance the energy of sensor nodes. In this paper we have examined the various methods of clustering which are centralized, distributed and hybrid utilized in Sensor Networks. This paper also presents a comparative study of various clustering algorithms and the issues of clustering in WSNs. KeywordsClustering, wireless sensor network, residual energy, multihop, cluster head (CH), base station (BS).

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“…They highlighted the advantages and some performance issues of each routing protocol. While, in [8], the routing protocols discussed are classified into seven categories they are: Data centric routing, Hierarchical routing, Location based routing, Negotiation based routing, Multipath based routing, Quality of Service (QoS) routing and Mobility based routing, and compared them based on several parameters such as power consumption, scalability, mobility, optimal routing and data aggregation. Jain et al [9] surveyed the existing cluster-based protocols for both static and mobile WSNs, and made a comparative study among them based on several features such as basic assumptions, working environment, advantages, limitations, and working style.…”

Section: Related Workmentioning

confidence: 99%

A Survey of Four Routing Protocols for Wireless Sensor Networks

Zaghal¹

2017

IJDIWC

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node lifetime, message delivery throughput, cluster head formation stability, and traffic imposed on the cluster heads. We performed a MATLAB simulation to create six different scenarios in a controlled environment by varying the grid area, the number of nodes in the grid, and the placement of the main Base Station (middle location vs. border location). We present our findings and classify these four protocols according to our evaluation criteria. At the end, we give recommendations concerning their potential usage in different environments and real-life scenarios.

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A survey on routing protocols in Wireless Sensor Networks

Cited by 72 publications

References 17 publications

The role of big data in smart city

The role of big data in smart city

Clustering Techniques in Wireless Sensor Network: A Review

A Survey of Four Routing Protocols for Wireless Sensor Networks

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