Design and Analysis of Battery-Less Sensor Networks

2012 ◽  
pp. 311-327
Author(s):  
Ali Abedi ◽  
Kale Schrader
Keyword(s):  
Sensor Networks ◽  
Smart Grids ◽  
Point Of View ◽  
Wireless Sensor ◽  
Limiting Factors ◽  
Cross Layer ◽  
Correlation Peak ◽  
Active Sensors ◽  
Sensor Applications ◽  
Passive Sensors

One of the major limiting factors preventing wide use of wireless sensor networks in practical scenarios is power consumption. Battery-less or passive sensors promise to alleviate this issue and enable a wide variety of embedded sensor applications such as structural health and vehicular monitoring, biomedical applications, smart homes, and smart grids. Embedding these sensors in structures without the need for changing batteries, their rugged design to withstand harsh environments, and coded communication with multiple access features makes this technology a desirable candidate for a variety of applications. Design and analysis of these sensors from a cross layer point of view is studied in this book chapter. State of the art in fabrication and test of this new class of wireless sensor systems is also reviewed. Interactions between lower layer with passive sensors and upper layer with active sensors—a different perspective on cross layer—is exploited to achieve significant performance gains in terms of signal to noise and interference ratio, correlation peak to side-lobe ratio, operation range, and data rate.

scholarly journals Wireless sensor network design for smart grids and Internet of things for ambient living using cross-layer techniques

2019 ◽  
Vol 15 (7) ◽  
pp. 155014771986220 ◽  
Author(s):  
Jaffar Ali ◽  
Javed Iqbal ◽  
Shabbir Majeed ◽  
Imran Ahmed Mughal ◽  
Awais Ahmad ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Smart Grids ◽  
Dominating Set ◽  
Connected Dominating Set ◽  
Packet Delivery Ratio ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Delivery Ratio ◽  
Packet Delivery

Due to the increased demand of wireless sensor networks for their characteristics like low energy consumption, robustness, and low cost in several demanding and complex applications like smart grid, health and safety, traffic and weather updates, there is need of monitoring the infrastructure in a timely manner with high reliability. In this article, a cross-layer data communication scheme target-aware cross-layer technique is proposed to enhance reliability and to reduce the latency in wireless sensor networks. The proposed scheme uses connected dominating set at network layer where nodes in the connected dominating set are directly connected to all the other nodes in the network. Each sensor node sends the data to the nodes present in the connected dominating set, which forwards it to their respective destinations. The proposed scheme reduces the chances of collision resulting reduced delays. Higher packet delivery ratio is achieved with the proposed scheme results in improved reliability. The proposed scheme is outperforming other state-of-the-art schemes in terms of packet delivery ratio, latency, and data throughput with the default 802.15.4 and delay-responsive cross layer in both static and mobile scenarios using network simulator tool.

WSN-HaDaS: A Cross-Layer Handoff Management Protocol for Wireless Sensor Networks, a Practical Approach to Mobility

2015 ◽  
Vol E98.B (7) ◽  
pp. 1333-1344
Author(s):  
Raymundo BUENROSTRO-MARISCAL ◽  
Maria COSIO-LEON ◽  
Juan-Ivan NIETO-HIPOLITO ◽  
Juan-Antonio GUERRERO-IBANEZ ◽  
Mabel VAZQUEZ-BRISENO ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Practical Approach ◽  
Wireless Sensor ◽  
Cross Layer ◽  
Handoff Management ◽  
Management Protocol

Cross Layer Data Gathering Protocol For Wireless Sensor Networks

2017 ◽  
pp. 252
Author(s):  
Mohammed A. Abuhelaleh ◽  
Tahseen A. Al-Ramadin ◽  
Bassam A. Alqaralleh ◽  
Moha'med Al-Jaafereh ◽  
Khaled Almi'ani
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Cross Layer

Cross Layer Data Gathering Protocol For Wireless Sensor Networks

2016 ◽  
pp. 221
Author(s):  
Mohammed A. Abuhelaleh ◽  
Tahseen A. Al-Ramadin ◽  
Khaled Almi'ani ◽  
Moha'med Al-Jaafereh ◽  
Bassam A. Alqaralleh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Gathering ◽  
Wireless Sensor ◽  
Cross Layer

PERFORMANCE EVALUATION ANALYSIS OF WIRELESS SENSOR NETWORKS ROUTING PROTOCOLS IN SMART GRIDS

2016 ◽  
Vol 26 (1) ◽  
pp. 17
Author(s):  
Carlos Deyvinson Reges Bessa
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Smart Grids ◽  
Network Routing ◽  
Base Station ◽  
Wireless Sensor ◽  
Delay Jitter ◽  
La Red

ABSTRACTThis work aims to study which wireless sensor network routing protocol is more suitable for Smart Grids applications, through simulation of AODV protocols, AOMDV, DSDV and HTR in the NS2 simulation environment. Was simulated a network based on a residential area with 47 residences, with one node for each residence and one base station, located about 25m from the other nodes. Many parameters, such as packet loss, throughput, delay, jitter and energy consumption were tested.  The network was increased to 78 and 93 nodes in order to evaluate the behavior of the protocols in larger networks. The tests proved that the HTR is the routing protocol that has the best results in performance and second best in energy consumption. The DSDV had the worst performance according to the tests.Key words.- Smart grid, QoS analysis, Wireless sensor networks, Routing protocols.RESUMENEste trabajo tiene como objetivo estudiar el protocolo de enrutamiento de la red de sensores inalámbricos es más adecuado para aplicaciones de redes inteligentes, a través de la simulación de protocolos AODV, AOMDV, DSDV y HTR en el entorno de simulación NS2. Se simuló una red basada en una zona residencial con 47 residencias, con un nodo para cada residencia y una estación base, situada a unos 25 metros de los otros nodos. Muchos parámetros, tales como la pérdida de paquetes, rendimiento, retardo, jitter y el consumo de energía se probaron. La red se incrementó a 78 y 93 nodos con el fin de evaluar el comportamiento de los protocolos de redes más grandes. Las pruebas demostraron que el HTR es el protocolo de enrutamiento que tiene los mejores resultados en el rendimiento y el segundo mejor en el consumo de energía. El DSDV tuvo el peor desempeño de acuerdo a las pruebas.Palabras clave.- redes inteligentes, análisis de calidad de servicio, redes de sensores inalámbricas, protocolos de enrutamiento.

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