Energy Efficient Methods for Topology Control Problem of Wireless Sensor Network

Energy conservation in sensor networks is depending on duty cycle, data driven and mobility-based methods. Duty cycle methods use synchronous and asynchronous MAC protocols for saving the node energy. Data driven methods employs in-network processing, data aggregation and hierarchical sampling methods for minimizing the energy utilization. This paper delivers energy efficient strategies for information gathering and also a selection in WSN.

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Secure Data Aggregation Protocol with Efficient Energy in Sensor Networks

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.d9154.118419 ◽

2019 ◽

Vol 8 (4) ◽

pp. 9821-9824

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Energy Level ◽

Data Aggregation ◽

Energy Efficient ◽

Energy Utilization ◽

Wireless Sensor ◽

Efficient Energy ◽

Secure Data ◽

Secure Data Aggregation

In the current secure data aggregation strategies, decrease within the energy utilization isn't greatly talked about and consolidated answer for both trustworthiness and confirmation isn't tended to. In this paper, we propose to structure an Energy Efficient Secure Data Aggregation Protocol for wireless sensor networks. In this protocol, we fuse the confirmation as well as protection to keep up the productivity of the data aggregation. Initially the network been partitioned into bunches, every group is going through an aggregator also the aggregators are associated with sink each straightforwardly otherwise by different aggregators. The aggregator has been chosen dependent taking place the closest separation toward a lot of sensor hubs as well as its energy level. Detached inputs has been circulated toward the two points i.e., sensor hub to the aggregator as well as aggregator to the sink. At whatever point a sensor hub needs to mail information toward an additional hub; former the sensor hub scrambles the information utilizing a input also mails it toward the aggregator. For honesty of the information parcel, a MAC support confirmation policy is utilized. Reenactment outcome confirm so as to our planned protocol have decreased energy utilization though achieving great bundle conveyance proportion.

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Energy Efficient Data Aggregation Approach for Wireless Sensor Networks

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2019.9114 ◽

2019 ◽

Vol 7 (9) ◽

pp. 832-837

Author(s):

Sonam Bhatia

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Aggregation ◽

Energy Efficient ◽

Wireless Sensor ◽

Efficient Data

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Low-Cost Topology Control for Data Collecting in Duty-Cycle Wireless Sensor Networks

2020 IEEE 18th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin45582.2020.9442171 ◽

2020 ◽

Author(s):

Mengmeng Xu ◽

Hai Zhu ◽

Juanjuan Wang ◽

Hengzhou Xu ◽

Chenghang Li

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Duty Cycle ◽

Topology Control ◽

Low Cost ◽

Wireless Sensor ◽

Data Collecting

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Energy efficient fixed-cluster architecture for wireless sensor networks

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-192177 ◽

2021 ◽

Vol 40 (5) ◽

pp. 8727-8740

Author(s):

Rajvir Singh ◽

C. Rama Krishna ◽

Rajnish Sharma ◽

Renu Vig

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Aggregation ◽

Energy Efficient ◽

Search Algorithm ◽

Cluster Formation ◽

Wireless Sensor ◽

Efficient Operation ◽

Cluster Architecture ◽

Dynamic Cluster

Dynamic and frequent re-clustering of nodes along with data aggregation is used to achieve energy-efficient operation in wireless sensor networks. But dynamic cluster formation supports data aggregation only when clusters can be formed using any set of nodes that lie in close proximity to each other. Frequent re-clustering makes network management difficult and adversely affects the use of energy efficient TDMA-based scheduling for data collection within the clusters. To circumvent these issues, a centralized Fixed-Cluster Architecture (FCA) has been proposed in this paper. The proposed scheme leads to a simplified network implementation for smart spaces where it makes more sense to aggregate data that belongs to a cluster of sensors located within the confines of a designated area. A comparative study is done with dynamic clusters formed with a distributive Low Energy Adaptive Clustering Hierarchy (LEACH) and a centralized Harmonic Search Algorithm (HSA). Using uniform cluster size for FCA, the results show that it utilizes the available energy efficiently by providing stability period values that are 56% and 41% more as compared to LEACH and HSA respectively.

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