REDUCE ENERGY CONSUMPTION IN DATA AGGREGATION USING HOMOMORPHIC TECHNIQUE IN WIRELESS SENSOR NETWORK

This paper introduces an application of wireless sensor network based on the ZigBee -- the Smart-Scene system. In-depth analysis of factors of invalid power consumption, a functional separated sink node is designed and a DPM (Dynamic Power Management) schema of dynamic node based on event-driven is proposed. The schema is used in Smart-Scene system and the experimental results indicate it is high feasibility and reduce energy consumption. This method will become an effective solution for wireless sensor network.

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A Hybrid Structure for Data Aggregation in Wireless Sensor Network

Journal of Computational Engineering ◽

10.1155/2014/395868 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7 ◽

Cited By ~ 6

Author(s):

Hedieh Sajedi ◽

Zahra Saadati

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Networks ◽

Sensor Network ◽

Data Aggregation ◽

Spanning Tree ◽

Minimum Spanning Tree ◽

Communication Protocol ◽

Base Station ◽

Wireless Sensor

In recent years, wireless sensor networks have been used for various applications such as environmental monitoring, military and medical applications. A wireless sensor network uses a large number of sensor nodes that continuously collect and send data from a specific region to a base station. Data from sensors are collected from the study area in the common scenario of sensor networks. Afterward, sensed data is sent to the base station. However, neighboring sensors often lead to redundancy of data. Transmission of redundant data to the base station consumes energy and produces traffic, because process is run in a large network. Data aggregation was proposed in order to reduce redundancy in data transformation and traffic. The most popular communication protocol in this field is cluster based data aggregation. Clustering causes energy balance, but sometimes energy consumption is not efficient due to the long distance between cluster heads and base station. In another communication protocol, which is based on a tree construction, because of the short distance between the sensors, energy consumption is low. In this data aggregation approach, since each sensor node is considered as one of the vertices of a tree, the depth of tree is usually high. In this paper, an efficient hierarchical hybrid approach for data aggregation is presented. It reduces energy consumption based on clustering and minimum spanning tree. The benefit of combining clustering and tree structure is reducing the disadvantages of previous structures. The proposed method firstly employs clustering algorithm and then a minimum spanning tree is constructed based on cluster heads. Our proposed method was compared to LEACH which is a well-known data aggregation method in terms of energy consumption and the amount of energy remaining in each sensor network lifetime. Simulation results indicate that our proposed method is more efficient than LEACH algorithm considering energy consumption.

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A Novel Clustering Approach in Wireless Sensor Network Using Genetic Algorithm and Fuzzy Logic

Insight - Electronic ◽

10.18282/ie.v1.i2.234 ◽

2019 ◽

Vol 1 (2) ◽

Author(s):

Fatemehzahra Gholami Tirkolaei ◽

Faramarz E. Seraji

Keyword(s):

Fuzzy Logic ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Sensor Nodes ◽

Wireless Sensor ◽

Main Challenge ◽

Clustering Approach ◽

Reduce Energy Consumption ◽

Reduction Of Energy Consumption

Wireless sensor network consists of hundred or thousand sensor nodes that are connected together and work simultaneously to perform some special tasks. The restricted energy of sensor nodes is the main challenge in wireless sensor network as node energy depletion causes node death. Therefore, some techniques should be exerted to reduce energy consumption in these networks. One of the techniques to reduce energy consumptions most effectively is the use of clustering in wireless sensor networks.There are various methods for clustering process, among which LEACH is the most common and popular one. In this method, clusters are formed in a probabilistic manner. Among clustering strategies, applying evolutional algorithm and fuzzy logic simultaneously are rarely taken into account. The main attention of previous works was energy consumption and less attention was paid to delay.In the present proposed method, clusters are constructed by an evolutional algorithm and a fuzzy system such that in addition to a reduction of energy consumption, considerable reduction of delay is also obtained. The simulation results clearly reveal the superiority of the proposed method over other reported approaches.

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Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

International Journal of Embedded and Real-Time Communication Systems ◽

10.4018/ijertcs.2014010102 ◽

2014 ◽

Vol 5 (1) ◽

pp. 15-36 ◽

Cited By ~ 1

Author(s):

Ashim Pokharel ◽

Ethiopia Nigussie

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Secure Communication ◽

Base Station ◽

Sensor Nodes ◽

Wireless Sensor ◽

Design Strategies

Due to limited energy resources, different design strategies have been proposed in order to achieve better energy efficiency in wireless sensor networks, and organizing sensor nodes into clusters and data aggregation are among such solutions. In this work, secure communication protocol is added to clustered wireless sensor network. Security is a very important requirement that keeps the overall system usable and reliable by protecting the information in the network from attackers. The proposed and implemented AES block cipher provides confidentiality to the communication between nodes and base station. The energy efficiency of LEACH clustered network and with added security is analyzed in detail. In LEACH clustering along with the implemented data aggregation technique 48% energy has been saved compared to not clustered and no aggregation network. The energy consumption overhead of the AES-based security is 9.14%. The implementation is done in Contiki and the simulation is carried out in Cooja emulator using sky motes.

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Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

Mobile Computing and Wireless Networks ◽

10.4018/978-1-4666-8751-6.ch062 ◽

2016 ◽

pp. 1433-1452

Author(s):

Ashim Pokharel ◽

Ethiopia Nigussie

Keyword(s):

Energy Efficiency ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Wireless Sensor ◽

Design Strategies ◽

Sensor Network Security ◽

Wireless Sensor Network Security ◽

Aggregation Technique

Due to limited energy resources, different design strategies have been proposed in order to achieve better energy efficiency in wireless sensor networks, and organizing sensor nodes into clusters and data aggregation are among such solutions. In this work, secure communication protocol is added to clustered wireless sensor network. Security is a very important requirement that keeps the overall system usable and reliable by protecting the information in the network from attackers. The proposed and implemented AES block cipher provides confidentiality to the communication between nodes and base station. The energy efficiency of LEACH clustered network and with added security is analyzed in detail. In LEACH clustering along with the implemented data aggregation technique 48% energy has been saved compared to not clustered and no aggregation network. The energy consumption overhead of the AES-based security is 9.14%. The implementation is done in Contiki and the simulation is carried out in Cooja emulator using sky motes.

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EE-LEACH: Energy Enhancement in LEACH to Improve Network Life Time of Homogeneous Wireless Sensor Network

Law State and Telecommunications Review ◽

10.26512/lstr.v12i1.29051 ◽

2020 ◽

Vol 12 (1) ◽

pp. 205-224

Author(s):

Anshu Kumar Dwivedi DUBEY

Keyword(s):

Wireless Sensor Networks ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Networks ◽

Sensor Network ◽

Base Station ◽

Sensor Nodes ◽

Wireless Sensor ◽

Reduce Energy Consumption ◽

Matlab Programming

Purpose ”“ In the recent scenario, there are various issues related to wireless sensor networks such as clustering, routing, packet loss, network strength. The core functionality of primarily wireless sensor networks is sensor nodes that are randomly scattered over a specific area. The sensor senses the data and sends it to the base station. Energy consumption is an important issue in wireless sensor networks. Clustering and cluster head selection is an important method used to extend the lifetime of wireless sensor networks. The main goal of this research article is to reduce energy consumption using a clustering process such as CH determination, cluster formation, and data dissemination. Methodology/approach/design ”“ The simulation in this paper was finished utilizing MATLAB programming methodology and the proposed technique is contrasted with the LEACH and MOD-LEACH protocols. Findings ”“ The simulation results of this research show that the energy consumption and dead node ratio are improved of wireless sensor networks as compared to the LEACH and MOD-LEACH algorithms. Originality/value ”“ In the wireless sensor network there are various constraints energy is one of them. In order to solve this problem use CH selection algorithms to reduce energy consumption and consequently increase network lifetime.

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Implementation of a Modified Wireless Sensor Network MAC Protocol for Critical Environments

Wireless Communications and Mobile Computing ◽

10.1155/2017/2801204 ◽

2017 ◽

Vol 2017 ◽

pp. 1-23 ◽

Cited By ~ 1

Author(s):

Viktor Richert ◽

Biju Issac ◽

Nauman Israr

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Mac Protocol ◽

Wireless Sensor ◽

Communication Link ◽

Average Delay ◽

Environment Variables ◽

Efficient Communication ◽

Reduce Energy Consumption

A Wireless Sensor Network (WSN) is a network of many nodes. These nodes are equipped with sensors which communicate wirelessly using techniques for radio frequency transmission. This network helps to measure and record the physical environment variables and to forward these results to a central location known as a sink. As WSN nodes are only supplied by a battery, the primary challenge is to reduce the energy consumption. The MAC layer is responsible for the establishment of a reliable and efficient communication link between WSN nodes and is responsible for energy waste. The newly proposed MAC protocol in this paper uses an improved variant of CSMA which implements weak signal detection (WSD). This technique enables dividing collisions from weak signals and takes appropriate decisions to reduce energy consumption. The CSMA/WSD protocol is presented as a flowchart and implemented in OMNeT++ by using the MiXiM framework structure. Implementation tests are performed to prove the validity of the implemented protocol in different scenarios. Different simulation scenarios show that this protocol offers a higher throughput, a smaller mean backoff time, and less average delay in critical environments.

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FAJIT: a fuzzy-based data aggregation technique for energy efficiency in wireless sensor network

Complex & Intelligent Systems ◽

10.1007/s40747-020-00258-w ◽

2021 ◽

Author(s):

Shashi Bhushan ◽

Manoj Kumar ◽

Pramod Kumar ◽

Thompson Stephan ◽

Achyut Shankar ◽

...

Keyword(s):

Energy Efficiency ◽

Fuzzy Logic ◽

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Data Aggregation ◽

Heterogeneous Network ◽

Wireless Sensor ◽

Node Selection ◽

Parent Node

AbstractWireless sensor network (WSN) is used to sense the environment, collect the data, and further transmit it to the base station (BS) for analysis. A synchronized tree-based approach is an efficient approach to aggregate data from various sensor nodes in a WSN environment. However, achieving energy efficiency in such a tree formation is challenging. In this research work, an algorithm named fuzzy attribute-based joint integrated scheduling and tree formation (FAJIT) technique for tree formation and parent node selection using fuzzy logic in a heterogeneous network is proposed. FAJIT mainly focuses on addressing the parent node selection problem in the heterogeneous network for aggregating different types of data packets to improve energy efficiency. The selection of parent nodes is performed based on the candidate nodes with the minimum number of dynamic neighbors. Fuzzy logic is applied in the case of an equal number of dynamic neighbors. In the proposed technique, fuzzy logic is first applied to WSN, and then min–max normalization is used to retrieve normalized weights (membership values) for the given edges of the graph. This membership value is used to denote the degree to which an element belongs to a set. Therefore, the node with the minimum sum of all weights is considered as the parent node. The result of FAJIT is compared with the distributed algorithm for Integrated tree Construction and data Aggregation (DICA) on various parameters: average schedule length, energy consumption data interval, the total number of transmission slots, control overhead, and energy consumption in the control phase. The results demonstrate that the proposed algorithm is better in terms of energy efficiency.

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Prolonged Network Lifetime to Reduce Energy Consumption Using Cluster-Based Wireless Sensor Network

Smart Computing and Informatics - Smart Innovation, Systems and Technologies ◽

10.1007/978-981-10-5544-7_50 ◽

2017 ◽

pp. 513-522

Author(s):

Sagargouda S. Patil ◽

Anand Gudnavar

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Network Lifetime ◽

Wireless Sensor ◽

Reduce Energy Consumption

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n-Tier Modelling of Robust Key management for Secure Data Aggregation in Wireless Sensor Network

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v9i4.pp2682-2690 ◽

2019 ◽

Vol 9 (4) ◽

pp. 2682

Author(s):

Jyoti Metan ◽

K N Narashinha Murthy

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Response Time ◽

Sensor Network ◽

Data Aggregation ◽

Key Management ◽

Wireless Sensor ◽

Data Delivery ◽

Secret Key ◽

Delivery Performance

Security problems in Wireless Sensor Network (WSN) have been researched from more than a decade. There are various security approaches being evolving towards resisting various forms of attack using different methodologies. After reviewing the existing security approaches, it can be concluded that such security approaches are highly attack-specific and doesnt address various associated issues in WSN. It is essential for security approach to be computationally lightweight. Therefore, this paper presents a novel analytical modelling that is based on n-tier approach with a target to generate an optimized secret key that could ensure higher degree of security during the process of data aggregation in WSN. The study outcome shows that proposed system is computationally lightweight with good performance on reduced delay and reduced energy consumption. It also exhibits enhanced response time and good data delivery performance to balance the need of security and data forwarding performance in WSN.

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