scholarly journals Analysis of energy efficient connected target coverage algorithm for static and dynamic nodes in IWSNs

2016 ◽  
Vol 2 (2) ◽  
pp. 94 ◽  
Author(s):  
Anupam Mittal ◽  
Ruchi Aggarwal ◽  
Sapinder Kaur
Keyword(s):  
Energy Efficient ◽  
Industrial Applications ◽  
Low Energy ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Industrial Wireless Sensor Networks ◽  
Low Energy Consumption ◽  
Time Requirements ◽  
Connected Coverage

Today breakthroughs in wireless technologies have greatly spurred the emergence of industrial wireless sensor networks (IWSNs).To facilitate the adaptation of IWSNs to industrial applications, concerns about networks full coverage and connectivity must be addressed to fulfill reliability and real time requirements. Although connected target coverage algorithms have been studied notice both limitations and applicability of various coverage areas from an industry viewpoint. In this paper is discuss the two energy efficiency connected target coverage (CTC) algorithms CWGC(Communication Weighted Greedy Cover) and OTTC(Overlapped Target and Connected Coverage) algorithm based on dynamic node to resolve the problem of Coverage improvement. This paper uses the simulation in MATLAB represent the performance of two CTC algorithms with Dynamic node to improve network lifetime and low energy consumption and quality of service. Compare the dynamic nodes results with static nodes results

Secured Energy-Efficient Routing in Wireless Sensor Networks Using Machine Learning Algorithm

2020 ◽  
pp. 23-41
Author(s):  
Ahona Ghosh ◽  
Chiung Ching Ho ◽  
Robert Bestak
Keyword(s):  
Machine Learning ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Learning Algorithm ◽  
Low Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Efficient Routing

Wireless sensor networks consist of unattended small sensor nodes having low energy and low range of communication. It has been observed that if there is any system to periodically start and stop the sensors sensing activities, then it saves some energy, and thus, the network lifetime gets extended. According to the current literature, security and energy efficiency are the two main concerns to improve the quality of service during transmission of data in wireless sensor networks. Machine learning has proved its efficiency in developing efficient processes to handle complex problems in various network aspects. Routing in wireless sensor network is the process of finding the route for transmitting data among different sensor nodes according to the requirement. Machine learning has been used in a broad way for designing energy efficient routing protocols, and this chapter reviews the existing works in the said domain, which can be the guide to someone who wants to explore the area further.

K-Connected Target Coverage Problem Based on Cliffford Algebra in Wireless Sensor Networks

2011 ◽  
Vol 219-220 ◽  
pp. 53-56
Author(s):  
Wen Ming Cao ◽  
Xiong Feng Li ◽  
Mao Wei Wang
Keyword(s):  
Energy Efficient ◽  
Energy Supply ◽  
Heuristic Algorithms ◽  
High Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Target Coverage ◽  
Coverage Problem ◽  
High Energy Efficiency ◽  
Connected Coverage

An important issue in deploying a WSN is to provide target coverage with high energy efficiency and fault-tolerance. Sensor nodes in a wireless sensor network are resource-constrained, especially in energy supply, and prone to failure. In this paper, we study the problem of constructing energy efficient target coverage based on Cliffford Algebra . More specifically, we propose solutions to forming k-connected coverage of targets with the minimal number of active nodes based on Cliffford Algebra. We propose two heuristic algorithms to solve the problem. We have carried out extensive simulations to study the performance of the proposed algorithms. The evaluation results have demonstrated their desirable efficiency.

scholarly journals Secure and Low Energy Consumption Range Query in Tiered Sensor Networks

2016 ◽  
Vol 12 (07) ◽  
pp. 4 ◽  
Author(s):  
Song Ling ◽  
Qi Dong Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Value Chain ◽  
Range Query ◽  
Privacy Preserving ◽  
Low Energy ◽  
Wireless Sensor ◽  
Simulation Experiments ◽  
Low Energy Consumption

For the requirement of low energy consumption and high privacy-preserving in wireless sensor networks of range query, we propose a low energy consumption secure and verifiable range query protocol called SPRQ.SPRQ uses a novel prime aggregation to protect the privacy of the query data; We further propose an idea of the and value chain whereby data items collected by each sensor will be linked with each other just like a chain.The Sink verifies the integrity of query results by checking whether the data chain of each sensor is complete or not. The results of simulation experiments prove that prime aggregation can effectively reduce the amount of increased data in the prefix encoding process,so,network energy consumption is lower compared with other secure range query protocols.

scholarly journals Evaluation of a Wireless Sensor Network with Low Cost and Low Energy Consumption for Fire Detection and Monitoring

2014 ◽  
Vol 51 (4) ◽  
pp. 971-993 ◽  
Author(s):  
Xavier Silvani ◽  
Frédéric Morandini ◽  
Eric Innocenti ◽  
Sylvestre Peres
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Low Cost ◽  
Fire Detection ◽  
Low Energy ◽  
Wireless Sensor ◽  
Low Energy Consumption
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