Energy Efficient Data Distribution on Cloud with Optimal Routing Path Based Congestion Control in WSN Environment

Presently, Wireless Sensor Network (WSN) is the extremely standard services utilized in commercial in addition to industrial applications, owing to its technical development in the embedded computing devices’ processor, communication, along with less-power usage. Moreover, in the WSN’s advantages, the sensor data’s energy-efficient distribution onto the cloud data centre is amid the core challenges caused by higher data loads and also congestion. Aimed at overcoming these problems, this work proffers an energy-efficient Data Packet (DP) distribution protocol comprising an optimal routing path centred congestion control technique in the WSN environment. This system not just ponders the energy-efficient DP distribution nevertheless increments the sensor’s lifetime by choosing the Cluster Head (CH) centred on the sensor’s residual energy, packet loss factor, data forwarding rate, and minimal distance. Next, the numerous routing paths prevalent in inter-cluster and intra-clusters are detected utilizing the QLA2ODV method; the congested nodes are detected as of these paths utilizing LM-NN classifier; if congestion happens, the QLA2ODV distributes the DP onto the Base Station (BS) via the optimum congestion-free routing path. The optimal routing paths were elected as of the congestion-free paths utilizing the WFCSO method. Past obtaining the sensor data, the BS transmits the DPs onto the Fog Nodes (FNs). At last, the sensor data are effectively distributed onto the cloud data centres grounded on the data’s features and cloud features utilizing the BD-SBO technique. The experiential outcomes determine the proposed system’s effectiveness.

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Energy-Efficient Data-Aggregation Technique for Correlated Spatial and Temporal Data in Cluster-Based Sensor Networks

International Journal of Business Data Communications and Networking ◽

10.4018/ijbdcn.2020070103 ◽

2020 ◽

Vol 16 (2) ◽

pp. 53-68

Author(s):

Khushboo Jain ◽

Anoop Kumar

Keyword(s):

Sensor Networks ◽

Data Aggregation ◽

Energy Efficient ◽

Data Gathering ◽

Base Station ◽

Sensor Nodes ◽

Temporal Data ◽

Network Applications ◽

Efficient Data ◽

Aggregation Technique

Continuous-monitoring applications in sensor network applications require periodic data transmissions to the base-station (BS), which may lead to unnecessary energy depletion. The energy-efficient data aggregation solutions in sensor networks have evolved as one of the favorable fields for such applications. Former research works have recommended many spatial-temporal designs and prototypes for successfully minimizing the data-gathering overheads, but these are constrained to their relevance. This work has proposed a data aggregation technique for homogeneous application set-ups in sensor networks. For this, the authors have employed two ways of model generation for reducing correlated spatial-temporal data in cluster-based sensor networks: one at the Sensor nodes (SNs) and the other at the Cluster heads (CHs). Building on this idea, the authors propose two types of data filtration, first at the SNs for determining temporal redundancies (TRs) in data readings by both relative deviation (RD) and adaptive frame method (AFM) and second at the CHs for determining spatial redundancies (SRs) by both RD and AFM.

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Distributed Intra and Inter Cluster Chaining Framework for Energy-Efficient, Delay Bounded and Scalable Data Gathering Applications in Large Scale Sensor Network

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.b8132.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 2068-2075

Keyword(s):

Sensor Network ◽

Energy Efficient ◽

Large Scale ◽

Data Gathering ◽

Base Station ◽

Wireless Sensor ◽

Data Delivery ◽

Delivery Delay ◽

Efficient Data ◽

Bounded Data

This paper proposes a scalable, energy-efficient and scalable, energy efficient, delay bounded intra and inter cluster routing framework viz. GIICCF (Generalized Intra and Inter cluster chaining framework) for efficient data gathering in large scale wireless sensor networks. This approach extricates the benefits of both pure chain-based as well as pure cluster-based data gathering schemes in large scale Wireless Sensor Network (WSNs) without undermining with the drawbacks. GIICCF defines a localized energy-efficient chaining scheme among the member nodes within the cluster with bounded data delivery delay to the respective cluster-heads (CH) as well as enables the CH to deliver data to the Base station (BS) following an energy-efficient multi-hop fashion. Detailed experimental analysis and simulation results reveal GIICCF increases the performance of any pure cluster-based and chain-based protocols by a huge margin.

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ZEEHC: Zone-Based Energy Efficient Hierarchal Clustering Hierarchy for Wireless Sensor Networks

Turkish Journal of Computer and Mathematics Education (TURCOMAT) ◽

10.17762/turcomat.v12i2.2340 ◽

2021 ◽

Vol 12 (2) ◽

pp. 3003-3017

Author(s):

Nitin Mittal

Keyword(s):

Sensor Network ◽

Energy Efficient ◽

Minimum Energy ◽

Industrial Applications ◽

Base Station ◽

Wireless Sensor ◽

Battery Life ◽

Habitat Monitoring ◽

Minimum Energy Consumption ◽

Potential Applications

Wireless Sensor Network (WSN) is an emerging technology with potential applications in the field of habitat monitoring and industrial applications. Sensors monitor changes in an environment's physical attribute such as temperature, and observe the data collected and forward it to the base station (BS). Mostly these sensors are unattended, and their limited battery life makes energy a valuable resource that has to be used wisely. For the collection of information, the sensor network must be maintained for a longer duration of time in an energy-efficient manner.Therefore, designing protocols that prolong the life of the network and which are energy-efficient is incessantly fascinating. This paper proposed a protocol referred to as the zone-based energy-efficient hierarchical clustering (ZEEHC) protocol that divides the network into small zones and increases network lifetime. In order to achieve minimum energy consumption, multi-hop contact is implemented between ZHs - CHs -BS. The results further reveal that the proposed protocol significantly outperforms existing algorithms in terms of energy optimization and system lifetime.

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Energy-Efficient and Secure Data Forwarding Mechanism for Balancing Cluster Lifetime for Huge Size Wireless Sensor Networks

Journal of Computational and Theoretical Nanoscience ◽

10.1166/jctn.2019.8277 ◽

2019 ◽

Vol 16 (9) ◽

pp. 3961-3964

Author(s):

Charu Sharma ◽

Rohit Vaid

Keyword(s):

Energy Efficiency ◽

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Aggregation ◽

Energy Efficient ◽

Base Station ◽

Packet Transmission ◽

Sensor Nodes ◽

Sensor Data ◽

Wireless Sensor

In designing Wireless Sensor Networks, energy efficiency and security should be considered very critically. Energy efficiency is achieved through data aggregation which eliminates the transmission of redundant data while security is achieved by preserving confidentiality among sensor node and the base station. In this paper, an energy efficient and secure cluster based aggregation mechanism is presented. In this model, for energy efficiency the network is divided into tracks and sectors so the cluster head’s are uniformly selected from the whole network. To achieve security the cluster head’s perform data aggregation with the help of some pattern codes and only distinctive data is transmitted from sensor nodes in encrypted form. To perform aggregation, the sensor nodes do not need to know about the actual sensor data therefore there is no need to use any encryption or decryption schemes between nodes and cluster head. Performance evaluation shows proposed model works better to enhance the network lifetime, security, average residual energy, and average packet transmission ratio than conventional data aggregation models.

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Energy Efficient Data Collection via Supervised In-Network Classification of Sensor Data

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) ◽

10.1109/dcoss.2016.24 ◽

2016 ◽

Cited By ~ 2

Author(s):

Lorenzo A. Rossi ◽

Bhaskar Krishnamachari ◽

C.-C. Jay Kuo

Keyword(s):

Data Collection ◽

Energy Efficient ◽

Sensor Data ◽

Efficient Data ◽

Efficient Data Collection

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An Energy Efficient Congestion control Technique for Wireless Sensor Networks

International Journal of Computer Applications ◽

10.5120/7455-0465 ◽

2012 ◽

Vol 48 (19) ◽

pp. 12-20

Author(s):

A. ShakeelaJoy ◽

M. Muthuselvi ◽

V. Kavitha

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Congestion Control ◽

Energy Efficient ◽

Wireless Sensor ◽

Control Technique

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A Survey on Hierarchical Cluster Based Secure Routing Protocols and Key Management Schemes in Wireless Sensor Networks

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit183810 ◽

2018 ◽

pp. 18-26

Author(s):

Yugashree Bhadane ◽

Pooja Kadam

Keyword(s):

Routing Protocol ◽

Routing Protocols ◽

Key Management ◽

Energy Efficient ◽

Base Station ◽

Secure Routing ◽

Sensor Nodes ◽

Wireless Sensor ◽

Management Schemes ◽

Cluster Based Routing

Now days, wireless technology is one of the center of attention for users and researchers. Wireless network is a network having large number of sensor nodes and hence called as “Wireless Sensor Network (WSN)”. WSN monitors and senses the environment of targeted area. The sensor nodes in WSN transmit data to the base station depending on the application. These sensor nodes communicate with each other and routing is selected on the basis of routing protocols which are application specific. Based on network structure, routing protocols in WSN can be divided into two categories: flat routing, hierarchical or cluster based routing, location based routing. Out of these, hierarchical or cluster based routing is becoming an active branch of routing technology in WSN. To allow base station to receive unaltered or original data, routing protocol should be energy-efficient and secure. To fulfill this, Hierarchical or Cluster base routing protocol for WSN is the most energy-efficient among other routing protocols. Hence, in this paper, we present a survey on different hierarchical clustered routing techniques for WSN. We also present the key management schemes to provide security in WSN. Further we study and compare secure hierarchical routing protocols based on various criteria.

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