scholarly journals Efficiency of Wireless Sensor Network with MIMO Techniques

2019 ◽  
Vol 9 (2) ◽  
pp. 4896-4898
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Performance Metrics ◽  
Wireless Sensor ◽  
Total Energy Consumption ◽  
Different Types ◽  
Energy Consumptions ◽  
And Performance

A performance analysis of the energy efficiency of Wireless Sensor Network with different types of MIMO techniques is carried out in this paper. MIMO concept is integrated with WSN and performance of such network is analyzed and experimented in this paper with respect to different energy consumptions viz., transmit energy consumption and total energy consumption. It is concluded that WSN with BPSKMIMO outperforms WSN with SISO. The results published in this paper show that the integration WSN with BPSK-MIMO can achieve better performance metrics

scholarly journals A New Energy-Efficient Data Transmission Scheme Based on DSC and Virtual MIMO for Wireless Sensor Network

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Na Li ◽  
Liwen Zhang ◽  
Bing Li
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Source Coding ◽  
Distributed Source Coding ◽  
Wireless Sensor ◽  
Transmission Scheme ◽  
Distributed Source

Energy efficiency in wireless sensor network (WSN) is one of the primary performance parameters. For improving the energy efficiency of WSN, we introduce distributed source coding (DSC) and virtual multiple-input multiple-output (MIMO) into wireless sensor network and then propose a new data transmission scheme called DSC-MIMO. DSC-MIMO compresses the source data using distributed source coding before transmitting, which is different from the existing communication schemes. Data compression can reduce the length of the data and improve the energy efficiency. In addition, DSC-MIMO does not require the cluster heads to collect the data of the source nodes, which reduces the frequencies of data transmission and saves energy. In the simulation, we analyze the energy consumption of DSC-MIMO. The results indicate that DSC-MIMO can effectively reduce the energy consumption and improve the energy efficiency of the whole wireless sensor network.

Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

2014 ◽  
Vol 5 (1) ◽  
pp. 15-36 ◽  
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.

Energy Consumption Analysis of Secure and Clustered Wireless Sensor Network

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.

scholarly journals Enhancing Energy Efficiency of Wireless Sensor Network through the Design of Energy Efficient Routing Protocol

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Noor Zaman ◽  
Low Tang Jung ◽  
Muhammad Mehboob Yasin
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Cross Layer Design ◽  
Energy Efficient Routing ◽  
Overall Performance

Wireless Sensor Network (WSN) is known to be a highly resource constrained class of network where energy consumption is one of the prime concerns. In this research, a cross layer design methodology was adopted to design an energy efficient routing protocol entitled “Position Responsive Routing Protocol” (PRRP). PRRP is designed to minimize energy consumed in each node by (1) reducing the amount of time in which a sensor node is in an idle listening state and (2) reducing the average communication distance over the network. The performance of the proposed PRRP was critically evaluated in the context of network lifetime, throughput, and energy consumption of the network per individual basis and per data packet basis. The research results were analyzed and benchmarked against the well-known LEACH and CELRP protocols. The outcomes show a significant improvement in the WSN in terms of energy efficiency and the overall performance of WSN.

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

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.

A New Clustering Routing Algorithm of Wireless Sensor Network

2014 ◽  
Vol 986-987 ◽  
pp. 2095-2098
Author(s):  
Li Qiang Chen
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Lifetime ◽  
Routing Algorithm ◽  
Wireless Sensor ◽  
Large Area ◽  
Cluster Heads

In wireless sensor network, node’s energy is limited. The energy consumption of transmission a bit is larger than that of handle a bit. If it adopt effective routing algorithm, it can greatly improve the energy efficiency of wireless sensor network. In order to improve the energy efficiency of wireless sensor network in the large area, we propose a clustering routing algorithm based on energy, the algorithm realize the multi-hops communication between cluster heads by dividing the WSN area into concentric rings, and reduce the size of radius of the clusters gradually when the nodes’ energy is decreasing slowly. The results of simulation show that the algorithm can effectively prolong the network lifetime.

Wireless Sensor Network Protocols, Performance Metrics, Biosensors, and WSN in Healthcare

2020 ◽  
pp. 86-108
Author(s):  
Sumathi V.
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Computer Engineering ◽  
And Performance ◽  
Application Fields

Wireless network led to the development of Wireless Sensor Networks (WSNs). A Wireless sensor network is a set of connected devices, sensors, and electronic components that can transmit the information collected from an observed field to the relevant node through wireless links. WSN has advanced many application fields. It can change any kind of technology that can modify the future lifestyle. WSNs are composed of tiny wireless computers that can sense the situation of atmosphere, process the sensor data, make a decision, and spread data to the environmental stimuli. Sensor-based technology has created several opportunities in the healthcare system, revolutionizing it in many aspects. This chapter explains in detail wireless sensor networks, their protocol, and performance metrics. The impact and role of the Biosensor in a wireless sensor network and healthcare systems are depicted. The integration of the computer engineering program into the WSNs is addressed.

EELEACH Clustering Approach to Improve Energy Efficiency in WSN

2019 ◽  
Vol 13 (2) ◽  
pp. 148-153
Author(s):  
Neha D. Desai ◽  
Shrihari D. Khatawkar
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Data Delivery ◽  
Sink Node ◽  
Improve Energy Efficiency ◽  
Packet Delivery ◽  
Head Node

Background: Wireless sensor network is self-organizing which consists of a large number of sensor nodes and one sink node according to recent patents. The most important characteristics of such a network are the restricted resources like battery power, consumption capacity and consumption range. Energy consumption is one of the important issues in the wireless sensor network and the challenge is to prolong the network lifespan. Objective: The objective of the proposed approach is to balance a consumption of energy at member node as well as head node of cluster during the data transmission stage and to improve energy efficiency and lifespan of the network. Methods: The aim of an energy efficient clustering method to deal with the homogenous distribution and deployment of tree structure is performed. The performance of network is enhanced by electing head node with data to the node with greater cluster rate and having lowest distance from sink node. The member node sends their data to the head node which forwards their data to the node with greater weight rate which is sent to the sink node in an energy balancing way. Results: A performance analysis of existing approach as LEACH and proposed approach as EELEACH is undertaken by considering different metrics such as energy consumption successful data delivery, throughput, routing overhead, packet delivery fraction and delay ratio. Conclusion: From result analysis, the proposed system as EELEACH shows successful data delivery, throughput, routing overhead, packet delivery fraction and delay ratio. Hence, the low energy consumption improved lifespan of the network and better data transfer rate.

A Reliable Energy Efficient Wireless Sensor Network Hierarchical Routing Algorithm

2013 ◽  
Vol 475-476 ◽  
pp. 569-572
Author(s):  
Kai Guo Qian ◽  
Lin Ou
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Wireless Sensor ◽  
Hierarchical Routing

The existing clustering protocols exists shortages that the nodes with small residual energy may be choose as cluster nodes, which communicate directly with sink causes more energy consumption. Member nodes transmit data directly to cluster head also caused more energy consumption. A reliable energy efficient wireless sensor network hierarchical routing algorithm (REHRA) is proposed to further improve energy efficiency. It introduces residual energy factor for election of heads that makes nodes with more residual energy priority become heads. The data transmission for heads to sink uses flooding algorithm that ensures reliability. Routing tree is formed within local cluster and data delivers from leaf nodes to the cluster head. Performance analysis and simulation experiment shows that the new algorithm provides higher energy efficiency and longer lifetime.

ADAPTIVE SENSING SCHEDULE MECHANISM CONSIDERING NEIGHBOR NODE IN WIRELESS SENSOR NETWORK

2007 ◽  
Vol 04 (03) ◽  
pp. 261-272 ◽  
Author(s):  
JEONG-AH LEE ◽  
DONG-WOOK LEE ◽  
JAI-HOON KIM ◽  
WE-DUKE CHO ◽  
JAN PAJAK
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Average Delay ◽  
Increase Energy Efficiency ◽  
Communication Module ◽  
Precious Resource ◽  
Reduce Energy Consumption

There are many schemes to increase energy efficiency in wireless sensor network as energy is a precious resource. We focus on improving energy efficiency in sensing module while most of the previous works focus on the energy saving in communication module. When a sensor network continuously senses wide area, energy consumption is needed largely in the sensing module. We consider a change rate of sensed data and adjust sensing period to reduce energy consumption while minimizing average delay between change of field and detection. Additionally, cooperation among neighbor nodes is essential to reduce energy consumption and the delay. Our dynamic sensing algorithm reduces the energy consumption and delay between change of field and detection. Our scheme controls sensing cycle based on change of sensing data and information of neighbor nodes such as sensing cycle and number of cooperative nodes. It improves energy efficiency up to 90% comparing with the static sensing method, and reduces the delay up to 84% comparing to the previous works.

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