scholarly journals Hybrid MAC Protocol for UAV-Assisted Wireless Sensor Networks

2018 ◽  
Author(s):  
Muhammad Rusyadi Ramli ◽  
Dong-Seong Kim ◽  
Jae Min Lee
Keyword(s):  
Network Performance ◽  
Time Slot ◽  
Mac Protocol ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access ◽  
Registration Process ◽  
Beacon Frame ◽  
Transmission Schedule

This paper proposes a hybrid medium access control (MAC) protocol for wireless sensor network (WSN) data gathering, employing unmanned aerial vehicles (UAV). The UAV sends a beacon frame periodically to inform sensor nodes regarding its presence. Afterward, each sensor node which receives beacon frame contends to send registration frame to the UAV. The UAV will transmit the second beacon frame to the registered nodes to notify their transmission schedule. The time-slot scheme is used for the transmission schedule. The transmission schedule of each sensor is determined based on their priority. Specifically, the priority of each sensor is determined during the registration process. Furthermore, the architecture of UAV-WSN data gathering system is introduced in this paper. Simulations are performed, showing that the proposed MAC protocol achieves fairness while enhancing network performance.

Designing and Implementing a Lightweight WSN MAC Protocol for Smart Home Networking Applications

2016 ◽  
Vol 26 (03) ◽  
pp. 1750043 ◽  
Author(s):  
Ching-Han Chen ◽  
Ming-Yi Lin ◽  
Wen-Hung Lin
Keyword(s):  
Smart Home ◽  
Ieee 802.15.4 ◽  
Mac Protocol ◽  
Discrete Event ◽  
Packet Delivery Ratio ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Medium Access ◽  
Packet Delivery

Wireless sensor networks (WSNs) represent a promising solution in the fields of the Internet of Things (IoT) and machine-to-machine networks for smart home applications. However, to feasibly deploy wireless sensor devices in a smart home environment, four key requirements must be satisfied: stability, compatibility, reliability routing, and performance and power balance. In this study, we focus on the unreliability problem of the IEEE 802.15.4 WSN medium access control (MAC), which is caused by the contention-based MAC protocol used for channel access. This problem results in a low packet delivery ratio, particularly in a smart home network with only a few sensor nodes. In this paper, we first propose a lightweight WSN protocol for a smart home or an intelligent building, thus replacing the IEEE 802.15.4 protocol, which is highly complex and has a low packet delivery ratio. Subsequently, we describe the development of a discrete event system model for the WSN by using a GRAFCET and propose a development platform based on a reconfigurable FPGA for reducing fabrication cost and time. Finally, a prototype WSN controller ASIC chip without an extra CPU and with our proposed lightweight MAC was developed and tested. It enhanced the packet delivery ratio by up to 100%.

Medium Access Control Protocols for Wireless Sensor Networks

2012 ◽  
pp. 367-395 ◽  
Author(s):  
Pardeep Kumar ◽  
Mesut Gunes
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Access Control ◽  
Medium Access Control ◽  
Mac Protocol ◽  
Mac Protocols ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access ◽  
Basic Network

This chapter provides an overall understanding of the design aspects of Medium Access Control (MAC) protocols for Wireless Sensor Networks (WSNs). A WSN MAC protocol shares the wireless broadcast medium among sensor nodes and creates a basic network infrastructure for them to communicate with each other. The MAC protocol also has a direct influence on the network lifetime of WSNs as it controls the activities of the radio, which is the most power-consuming component of resource-scarce sensor nodes. In this chapter, the authors first discuss the basics of MAC design for WSNs and present a set of important MAC attributes. Subsequently, authors discuss the main categories of MAC protocols proposed for WSNs and highlight their strong and weak points. After briefly outlining different MAC protocols falling in each category, the authors provide a substantial comparison of these protocols for several parameters. Lastly, the chapter discusses future research directions on open issues in this field that have mostly been overlooked.

scholarly journals Network-Coding-Based Cooperative ARQ Medium Access Control Protocol for Wireless Sensor Networks

2011 ◽  
Vol 8 (1) ◽  
pp. 601321 ◽  
Author(s):  
Angelos Antonopoulos ◽  
Christos Verikoukis
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Access Control ◽  
Medium Access Control ◽  
Network Coding ◽  
Network Performance ◽  
Mac Protocol ◽  
Medium Access Control Protocol ◽  
Wireless Sensor ◽  
Medium Access

We introduce a novel Medium Access Control (MAC) protocol for Automatic Repeat reQuest-based (ARQ-based) cooperative wireless sensor networks. Using network coding techniques, we achieve a better network performance in terms of energy efficiency without compromising the offered Quality of Service (QoS). The proposed solution is compared to other cooperative schemes, while analytical and simulation results are provided to evaluate our protocol.

Energy Saving Mechanisms for MAC Protocols in Wireless Sensor Networks

2010 ◽  
Vol 6 (1) ◽  
pp. 163413 ◽  
Author(s):  
Moshaddique Al Ameen ◽  
S. M. Riazul Islam ◽  
Kyungsup Kwak
Keyword(s):  
Energy Saving ◽  
Energy Efficient ◽  
Mac Protocol ◽  
Research Area ◽  
Mac Protocols ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access ◽  
Battery Power ◽  
Save Energy

Energy efficiency is a primary requirement in a wireless sensor network (WSN). This is a major design parameter in medium access control (MAC) protocols for WSN due to limited resources in sensor nodes that include low battery power. Hence a proposed MAC protocol must be energy efficient by reducing the potential energy wastes. Developing such a MAC protocol has been a hot research area in WSN. To avoid wasting the limited energy, various energy saving mechanisms are proposed for MAC protocols. These mechanisms have a common design objective—to save energy to maximize the network lifetime. This paper presents a survey on various energy saving mechanisms that are proposed for MAC protocols in WSN. We present a detailed discussion of these mechanisms and discuss their strengths and weaknesses. We also discuss MAC protocols that use these energy saving mechanisms.

Medium Access Control Protocols for Wireless Sensor Networks

2013 ◽  
pp. 947-974
Author(s):  
Pardeep Kumar ◽  
Mesut Gunes
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Access Control ◽  
Medium Access Control ◽  
Mac Protocol ◽  
Mac Protocols ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access ◽  
Basic Network

This chapter provides an overall understanding of the design aspects of Medium Access Control (MAC) protocols for Wireless Sensor Networks (WSNs). A WSN MAC protocol shares the wireless broadcast medium among sensor nodes and creates a basic network infrastructure for them to communicate with each other. The MAC protocol also has a direct influence on the network lifetime of WSNs as it controls the activities of the radio, which is the most power-consuming component of resource-scarce sensor nodes. In this chapter, the authors first discuss the basics of MAC design for WSNs and present a set of important MAC attributes. Subsequently, authors discuss the main categories of MAC protocols proposed for WSNs and highlight their strong and weak points. After briefly outlining different MAC protocols falling in each category, the authors provide a substantial comparison of these protocols for several parameters. Lastly, the chapter discusses future research directions on open issues in this field that have mostly been overlooked.

scholarly journals MULTI-CHANNEL MAC PROTOCOL FOR ENERGY SAVING IN WIRELESS SENSOR NETWORKS

2013 ◽  
pp. 26-30
Author(s):  
GEETHANJALI S ◽  
PRAVIN RENOLD A
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Mac Protocol ◽  
Minimum Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Mac Layer ◽  
Medium Access ◽  
Idle Listening

Wireless Sensor Network (WSN) is a self-organizing and distributed collection of small sensor nodes with limited energy are connected wirelessly to the sink, where the information is needed. The significant trait for any Wireless Sensor Network is power consumption since WSNs finds its most of the applications in unsafe, risky areas like Volcano eruption identification, Warfield monitoring, where human intervention is less or not possible at all. Hence designing a protocol with minimum energy consumption as a concern is an important challenge in increasing the lifetime of the sensor networks. Medium Access Control (MAC) Layer of WSN consumes much of the energy as it contains the radio component. Energy problems in MAC layer include collision, idle listening, and protocol overhead. Our Proposed MAC protocol provides solution for the problem of: collision by providing multiple channels; idle listening by providing sleeping mechanism for the nodes other than the active node; overhead by reducing the number of control messages. Avoiding collision results in the decrease in number of retransmissions which consumes more energy, avoiding idle listening problem will fairly increase the lifetime of the sensor node as well as the network’s lifetime and reducing overhead in turn consumes less energy.

scholarly journals Coalition Formation Based Compressive Sensing in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2331 ◽  
Author(s):  
Alireza Masoum ◽  
Nirvana Meratnia ◽  
Paul Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Energy Efficient ◽  
Network Performance ◽  
Data Gathering ◽  
Data Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Efficient Data

Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we propose an energy efficient distributed compressive sensing solution for sensor networks. The proposed solution utilizes sparsity distribution of signals to group sensor nodes into several coalitions and then implements localized compressive sensing inside coalitions. This solution improves data-gathering performance in terms of both data accuracy and energy consumption. The approach curbs both data-transmission costs and number of measurements. Coalition-based data gathering cuts transmission costs, and the number of measurements is reduced by scheduling sensor nodes and adjusting their sampling frequency. Our simulation showed that our approach enhances network performance by minimizing energy cost and improving data accuracy.

MAC Protocols for Wireless Sensor Networks

2010 ◽  
pp. 165-174 ◽  
Author(s):  
Torsten Braun ◽  
Markus Anwander ◽  
Philipp Hurni ◽  
Markus Wälchli
Keyword(s):  
Sensor Networks ◽  
Sensor Node ◽  
Mac Protocol ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Medium Access Control Protocols ◽  
Medium Access ◽  
Wireless Sensor Nodes ◽  
Measurement Results ◽  
Save Energy

The chapter describes related work on medium access control protocols for wireless sensor nodes. We focus on scheduled and contention-based protocols that have been proposed by the research community during the last few years. In particular, we evaluate the potential to save energy of several representative protocols, namely LMAC, TEEM, and WiseMAC. This has been done by measurements of implementations in real sensor networks. The measurement results show that by sophisticated MAC protocol design we can significantly improve the energy-efficiency and increase the lifetime of a sensor node. Real-world measurements are important to determine power consumption parameters of sensor nodes.

System Modeling for Opportunistic Network-Coded Cooperative Multicast Transmission in Clustered Wireless Sensor Networks

2013 ◽  
Vol 756-759 ◽  
pp. 1413-1417
Author(s):  
Yun Zhu ◽  
Jie Gao ◽  
Lin Zhang ◽  
Shao Lan Sun
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Network Performance ◽  
System Modeling ◽  
Cluster Head ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Opportunistic Network ◽  
Cooperative Multicast

Wireless sensor networks are formed by connected sensors that each have the ability to collect, process, and store environmental information as well as communicate with others via inter-sensor wireless communication. The many-to-one communication pattern used by sensor nodes in most of the data gathering applications leads to such unbalanced energy consumption. Cluster-based protocols attempt to solve this problem by load balancing within the cluster and rotating the job of cluster head every few rounds. In this paper, in order to achieve efficient utilization of wireless resources, we propose an opportunistic network-coded cooperative multicast scheme, which can select appropriate relays by synthetically considering location and instantaneous channel state information to improve the network performance than direct multicast with non additional power consumption.

scholarly journals Coalition Formation Based Compressive Sensing in Wireless Sensor Networks

2018 ◽  
Author(s):  
Alireza Masoum ◽  
Nirvana Meratnia ◽  
Paul J.M. Havinga
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Compressive Sensing ◽  
Energy Efficient ◽  
Network Performance ◽  
Data Gathering ◽  
Data Accuracy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Transmission Cost

Compressive sensing originates in the field of signal processing and has recently become a topic of energy-efficient data gathering in wireless sensor networks. In this paper, we propose an energy efficient distributed compressive sensing solution for sensor networks. Proposed solution utilizes sparsity distribution of signals to group sensor nodes into several coalitions and then implements localized compressive sensing inside coalitions. This solution improves data-gathering performance in terms of both data accuracy and energy consumption. The approach curbs both data-transmission costs and number of measurements. Coalition-based data gathering cuts transmission cost, and the number of measurements is reduced by scheduling sensor nodes and adjusting their sampling frequency. Our simulation showed that our approach enhances network performance by minimizing energy cost and improving data accuracy.

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