scholarly journals Optimised routing and compressive sensing based data communication in wireless sensor network

2020 ◽  
Vol 14 (6) ◽  
pp. 982-993
Author(s):  
Venkat Rao Pasupuleti ◽  
Chinthaguntla Balaswamy
Keyword(s):  
Wireless Sensor Network ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Data Communication ◽  
Wireless Sensor

Efficient Routing with Compressive Sensing for Wireless Sensor Network

2017 ◽  
Vol 26 (2) ◽  
pp. 399-412
Author(s):  
Rania Ahmed ◽  
EL-Sayed M. El-Rabaie ◽  
Mohammed Abd-Elnaby ◽  
FathiAbd EL-Samie
Keyword(s):  
Wireless Sensor Network ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Design and Implementation of Wireless Sensor Cellular Network Based on Android Platform

2017 ◽  
Vol 13 (05) ◽  
pp. 56
Author(s):  
Yan Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Cellular Network ◽  
Data Communication ◽  
Wireless Sensor ◽  
Test Results ◽  
Design And Implementation ◽  
Gateway System ◽  
Android Platform ◽  
The Times

With the progress of the times, the network has grown into the people's work and life. The limitations of the traditional wireless sensor network (WSN) have become increasingly prominent, and it is obviously unable to meet the requirements of Internet access. Therefore, the 4G mobile Android system is used as a carrier, to design an application layer gateway system for realizing wireless communication between wireless sensor networks and heterogeneous cellular networks, so as to build wireless sensor cellular network. The design and implementation of the AP module, data receiving and forwarding module, network packet loss management and retransmission of the gateway systemis the focus, and then the implemented gateway system is tested. The test results show that the design of the Android platform wireless sensor network gateway system can connect the sensor network to the cellular network, so as to realize data communication, and to ensure that the data loss rate is less than 0.1%. Through testing, it is concluded that the system can meet the actual demand

scholarly journals DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network

2018 ◽  
Vol 7 (3) ◽  
pp. 1956
Author(s):  
A Felix Arokya Jose ◽  
C Anand Deva Durai ◽  
S John Livingston
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sampling Rate ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Earliest Deadline First ◽  
Delivery Ratio ◽  
Earliest Deadline

Wireless Sensor Network (WSN) has an enormous scope of utilizations in detecting different parameters such as temperature, pressure, sound, pollution, etc. The sensed data in each sensor node are a valuable one. To communicate the information to the base station for further processing, a lot of strategies are available. Each sensor senses the data in different sampling rate depending upon the sudden raise in the sensing parameters. Data communication to the base station is very critical due to the dynamicity of the environment during the stipulated time.The sensed data should reach the base station before the data becomes invalid due to the violation of the deadline. In order to avoid deadline violation so that the sensed data becomes useless, this paper proposing a novel data collection algorithm based on the popular Earliest Deadline First (EDF) scheduling algorithm. The various simulation parameters are taken into account to verify the performance of the proposed method and the result shows that it achieves high throughput, low delay, high Packet Delivery Ratio (PDR) and low energy consumption.  

scholarly journals A compressive sensing–based adaptable secure data collection scheme for distributed wireless sensor networks

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985651
Author(s):  
Zhen Liu ◽  
Yi-Liang Han ◽  
Xiao-Yuan Yang
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Compressive Sensing ◽  
Sensor Network ◽  
Linear Structure ◽  
Public Key Cryptography ◽  
Data Encryption ◽  
Wireless Sensor ◽  
Learning With Errors Problem ◽  
Chosen Ciphertext Attack

Toward the goal of high security and efficiency for data collection in wireless sensor network, this article proposed an adaptable secure compressive sensing–based data collection scheme for distributed wireless sensor network. It adopted public key cryptography technology to solve the key distribution problem, and compressive sensing over finite fields to reduce the communication cost of data collection. Under hardness of decisional learning with errors problem on lattice, it can ensure indistinguishability against chosen ciphertext attack (IND-CCA1) security scheme for collected data on the extranet and indistinguishability against chosen plaintext attack security for data during the process of distributed collection on the intranet. Owing to the similar linear structure for lattices and compressive sensing, data encryption collection can be all in the form of efficient linear operations, and internode data aggregation can be in the form of addition operation.

Sign in / Sign up

Export Citation Format

Share Document