An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks

Çeken, Celal

doi:10.1016/j.csi.2007.06.001

Cited by 36 publications

(19 citation statements)

References 3 publications

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“…Other authors favor scheduling-based MAC protocols, as a way to avoid data delays and data loses due to channel contention and packet collisions. One such MAC protocol is presented by Ceken [36], where sensor nodes follow a TDMA schedule for data transmissions, but the delay-critical sensor nodes can request extra time slots from the central node in the case when their queues exceed a certain threshold.…”

Section: Delay Sensitive Communication Protocolsmentioning

confidence: 99%

“…Wireless networking Signal processing Middleware [72], [73], [74] Camera calibration: [18], [19], [21] Vision processing: * Object detection [22], [23] * Object tracking [25], [26], [27], [28], [29] * Advanced signal processing [30], [31] Sensor management [25], [29], [52], [53], [54], [55], [56] [32], [33], [38] Energy consumption: [60], [62], [64] Visual sensor node platformas: [5], [58], [66], [67] VSN architectures: [59], [68], [70] Hardware architectures Application * Reliability [35], [36], [37] * Delay sensitive communication [39], [40], [41], [42], [43], [44], [45], [46], [47] * Collaborative routing [49], [50] algorithms should explore how the o...…”

Section: Advances In Multimediamentioning

confidence: 99%

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A Survey of Visual Sensor Networks

Soro

Heinzelman

2009

Advances in Multimedia

381

116

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Visual sensor networks have emerged as an important class of sensor-based distributed intelligent systems, with unique performance, complexity, and quality of service challenges. Consisting of a large number of low-power camera nodes, visual sensor networks support a great number of novel vision-based applications. The camera nodes provide information from a monitored site, performing distributed and collaborative processing of their collected data. Using multiple cameras in the network provides different views of the scene, which enhances the reliability of the captured events. However, the large amount of image data produced by the cameras combined with the network's resource constraints require exploring new means for data processing, communication, and sensor management. Meeting these challenges of visual sensor networks requires interdisciplinary approaches, utilizing vision processing, communications and networking, and embedded processing. In this paper, we provide an overview of the current state-of-the-art in the field of visual sensor networks, by exploring several relevant research directions. Our goal is to provide a better understanding of current research problems in the different research fields of visual sensor networks, and to show how these different research fields should interact to solve the many challenges of visual sensor networks.

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Section: Delay Sensitive Communication Protocolsmentioning

confidence: 99%

Section: Advances In Multimediamentioning

confidence: 99%

A Survey of Visual Sensor Networks

Soro

Heinzelman

2009

Advances in Multimedia

381

116

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“…In [22], a new MAC layer protocol was developed for low-power and delay-sensitive wireless sensor networks, and the simulation results showed significant delay improvements. Compared to the available protocols, the custom-developed one again outperformed the existing ones, at least for the specific applications under consideration.…”

Section: Related Workmentioning

confidence: 99%

Lightweight wireless protocol based on IEEE 802.11 for delay sensitive telerobotic systems

Toker¹

2013

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we consider wireless telerobotic systems and protocol development for low-delay wireless communication. Telerobotics can be defined as the control of robot arms from a remote location. In a telerobotic system, there is a robot arm to be controlled that is identified as the 'slave arm', and a remote operator at a distant location using a robotic manipulator that is called the 'master arm'. In the control system measurements, actuator delays do degrade the system's performance. Therefore, communication delays between the master and slave arms, and their minimization, are of extreme importance in telerobotics. In this paper, we first develop a new wireless communication protocol, the lightweight wireless protocol (LWP), designed on top of the 802.11 media access control layer. This lowdelay wireless LWP protocol is implemented on an embedded system (AirDrop-LWP) without an operating system and its associated overhead. Finally, 2 AirDrop-LWP-embedded systems running this low-delay wireless LWP protocol are used to build a telerobotic system with a Mitsubishi RV-2AJ industrial robot. The LWP protocol is also tested on a robot car controlled by an AirDrop-LWP card as a slave arm and a standard PC as a master arm. The key features of the LWP are a reduced packet size, simple protocol stack, predictive compression of operator movements, and prediction of lost data packets. The LWP protocol is compared with the user datagram protocol and significant performance improvements are observed: a reduced delay of up to 50% and an additional 20% lower delay via compression. Variation in the packet delay times is also an important parameter for the wireless control system. As the standard deviation of the packet delay times increase, and becomes less and less predictable, the resulting telerobotic system will be more and more difficult to operate. We measured the standard deviation of packet delays and observed that it increases with the packet size, and this increase is faster than the increase in mean packet delay.

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“…The transceiver is known to have the highest consumption. Many previous works suggested protocols for medium access control (MAC), network topology, and routing to minimize the consumption of the transceiver [1][2][3][4]. The MAC protocols control sleep and wake periods of the transceivers to minimize energy consumption and schedules transmissions and receptions in the network to reduce packet collision possibility.…”

Section: Figure 1 Wireless Sensor Networkmentioning

confidence: 99%

Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

Abughalieh

Steenhaut

Nowé

et al. 2014

J Wireless Com Network

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Wireless channels are prone to many impairments, such as noise and fading. Weak channels between the nodes in the wireless sensor network (WSN) can cause reception of erroneous packets. Retransmission mechanisms are mainly used to tackle the problem of erroneous reception in WSN communication protocols. Weak channels can cause high number of retransmissions in order to deliver a packet correctly, which will consume high energy of both the transmitting and the receiving nodes. Error correcting codes (ECCs) can be used to reduce number of retransmissions, but most ECCs have complex decoding algorithms, which leads to high processing energy consumption at the receiving nodes in the WSN. In this paper, we present a low power consumption decode-and-forward approach for the multi-hop WSNs; a serial concatenation convolutional codes (SCCC) encoder is implemented at the source node while the complex iterative decoding algorithm is shifted to the sink (base station). The intermediate nodes run a Viterbi decoding algorithm to decode only the inner code of the SCCC encoder. We investigate the effect of changing constraint length of both the inner and the outer codes and the effect of changing encoding block size. We show that most packets can be decoded at the base station at low signal-to-noise ratio (SNR) channels with the penalty of small energy loss in decoding the packet at the nodes in the network.

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An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks

Cited by 36 publications

References 3 publications

A Survey of Visual Sensor Networks

A Survey of Visual Sensor Networks

Lightweight wireless protocol based on IEEE 802.11 for delay sensitive telerobotic systems

Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

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