scholarly journals Power Control in Wireless Sensor Networks with Variable Interference

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Michele Chincoli ◽  
Aly Aamer Syed ◽  
Georgios Exarchakos ◽  
Antonio Liotta
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Control ◽  
Network Performance ◽  
Interference Mitigation ◽  
Power Reduction ◽  
Sensor Nodes ◽  
Spectrum Efficiency ◽  
Wireless Sensor ◽  
Transmission Power

Adaptive transmission power control schemes have been introduced in wireless sensor networks to adjust energy consumption under different network conditions. This is a crucial goal, given the constraints under which sensor communications operate. Power reduction may however have counterproductive effects to network performance. Yet, indiscriminate power boosting may detrimentally affect interference. We are interested in understanding the conditions under which coordinated power reduction may lead to better spectrum efficiency and interference mitigation and, thus, have beneficial effects on network performance. Through simulations, we analyze the performance of sensor nodes in an environment with variable interference. Then we study the relation between transmission power and communication efficiency, particularly in the context of Adaptive and Robust Topology (ART) control, showing how appropriate power reduction can benefit both energy and spectrum efficiency. We also identify critical limitations in ART, discussing the potential of more cooperative power control approaches.

Solving Bottleneck Problem by Transmission Power Control under Various Compression Assumptions for Wireless Sensor Networks

2014 ◽  
Vol 548-549 ◽  
pp. 1465-1470
Author(s):  
Rei Heng Cheng ◽  
Chi Ming Huang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Power Control ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Battery Power ◽  
Simulation Results

In a wireless sensor network, sensor nodes located near the sink will have to bear more communication responsibilities in forwarding the data generated by the nodes located far from the sink. The nodes that are away from the sink communicate with the sink via the nodes that are nearby the sink. Thus the nodes nearby the sink will run out of battery power very soon and create bottleneck for communication. Some researches tried to balance the loading of sensors by adjusting the power range of sensors. However, simply reducing the power range does not always reduce the loading of sensors in the bottleneck zone. In this paper, both of the impacts of the transmission power range and compression gain on energy consumption of a wireless network are analyzed. Some simulation results are given to show the correctness of analysis results.

Multicast Scaling in Heterogeneous Wireless Sensor Networks for Security and Time Efficiency

2021 ◽  
Author(s):  
Ramdas Vankdothu ◽  
Hameed Mohd Abdul ◽  
Fatima Husnah ◽  
Subbarao Akkala
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Time Efficiency ◽  
Efficiency Measures ◽  
Heterogeneous Wireless Sensor Networks ◽  
Fuzzy C Means Clustering

Abstract Heterogeneous wireless sensor networks (HWSNs) satisfy researchers' requirements for developing real-world solutions that handle unattended challenges. However, the primary constraint of researchers is the privacy of the sensor nodes. It safeguards the sensor nodes and extensions in the HWSNs. Therefore, it is necessary to develop secure operational systems. Multicast scaling with security and time efficiency is described in heterogeneous wireless sensor networks to maximize network performance while also successfully protecting network privacy. This study evaluates the initial security and time efficiency measures, such as execution time, transmission delay, processing delay, congestion level, and trust measure. Subsequently, the optimal location of the heterogeneous nodes is determined using sigmoid-based fuzzy c-means clustering. Finally, successful cluster routing was achieved via support-value-based particle swarm optimization. The experimental results indicate that the proposed strategy surpasses existing strategies in terms of network delivery ratio, end-to-end delay, throughput, packet delivery, and node remaining energy level.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2016 ◽  
pp. 79-114
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Novel Energy Aware Algorithm to Design Multilayer Architecture for Dense Wireless Sensor Networks

2020 ◽  
pp. 372-399
Author(s):  
Naveen Chilamkurti ◽  
Sohail Jabbar ◽  
Abid Ali Minhas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Architecture ◽  
Network Performance ◽  
Data Dissemination ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Unbalanced Load

Network layer functionalists are of core importance in the communication process and so the routing with energy aware trait is indispensable for improved network performance and increased network lifetime. Designing of protocol at this under discussion layer must consider the aforementioned factors especially for energy aware routing process. In wireless sensor networks there may be hundreds or thousands of sensor nodes communicating with each other and with the base station, which consumes more energy in exchanging data and information with the additive issues of unbalanced load and intolerable faults. Two main types of network architectures for sensed data dissemination from source to destination exist in the literature; Flat network architecture, clustered network architecture. In flat architecture based networks, uniformity can be seen since all the network nodes work in a same mode and generally do not have any distinguished role.

Performance evaluation of MAC transmission power control in wireless sensor networks

2007 ◽  
Vol 51 (6) ◽  
pp. 1483-1498 ◽  
Author(s):  
Javier Vales-Alonso ◽  
Esteban Egea-López ◽  
Alejandro Martínez-Sala ◽  
Pablo Pavón-Mariño ◽  
M. Victoria Bueno-Delgado ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Performance Evaluation ◽  
Sensor Networks ◽  
Power Control ◽  
Wireless Sensor ◽  
Transmission Power ◽  
Transmission Power Control
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