Synchronous receiver initiated MAC protocol for long-lived sensor networks

Boulfekhar, Samra; Benmohammed, Mohammed

doi:10.1016/j.compeleceng.2013.07.011

Cited by 11 publications

(8 citation statements)

References 12 publications

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“…To do this and also minimize duty cycle, it uses a sequence of adaptive beacons and RTS/CTS packets. In this protocol, sending nodes do not go to sleep till they have got CTS packets from receiving nodes to begin transmitting except for nonsending nodes that return into the sleep mode right away as if the channel was idle [33]. Since sending nodes have separate schedules, it reduces the contention probability leading to more energy conservation.…”

Section: Sri-mac (Synchronous Receiver-initiated Mac)mentioning

confidence: 99%

“…SRI-MAC can enable sensors have lengthy sleeping times during transmission such that energy can be saved as long as it is neither sending nor receiving data. e protocol's communication period is premised on the TDMA technique which conserves energy since the radio's duty cycle is lowered and collision is eliminated [33]. is protocol is built on the power saving mechanism (PSM) of IEEE 802.11 and slotted Aloha protocols to enhance performance using multiple slots.…”

Section: Sri-mac (Synchronous Receiver-initiated Mac)mentioning

confidence: 99%

See 1 more Smart Citation

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

Bernard

Pei

Kimbugwe

2019

Journal of Computer Networks and Communications

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Wireless multimedia sensor networks (WMSNs) have got capacity to collect both scalar sensor data and multidimensional sensor data. It is the basis for the Internet of things (IoT). Quality of service (QoS) pointers like energy efficiency, reliability, bit error rate, and latency can be helpful in data collection estimation over a network. In this paper, we review a number of QoS strategies for WMSNs and wireless sensor networks (WSNs) in the IoT context from the perspective of the MAC and application layers as well as the cross-layer paradigm. Considering the MAC layer, since it is responsible for regulating the admittance to the shared medium and transmission reliability and efficiency through error correction in wireless transmissions, and for performance of framing, addressing, and flow control, the MAC protocol design greatly affects energy efficiency. We thus review a number of protocols here including contention-free and contention-based protocols as well as the hybrid of these. This paper also surveys a number of state-of-the-art machine-to-machine, publish/subscribe, and request/response protocols at the application layer. Cross-layer QoS strategies are very vital when it comes to system optimization. Many cross-layer strategies have been reviewed. For these QoS strategies, the challenges and opportunities are reviewed at each of the layers considered. Lastly, the future research directions for QoS strategies are discussed for research and application before concluding this paper.

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Section: Sri-mac (Synchronous Receiver-initiated Mac)mentioning

confidence: 99%

Section: Sri-mac (Synchronous Receiver-initiated Mac)mentioning

confidence: 99%

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

Bernard

Pei

Kimbugwe

2019

Journal of Computer Networks and Communications

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“…A-MAC is proposed by Dutta et al in [9], this protocol supports broadcast, unicast, pollcast and wake-up services under a unified architecture. SRI-MAC (Synchronous Receiver Initiated) MAC protocol is proposed by Boulfekhar et al in [10], it is based on the operating of synchronized dutycycling MAC protocol, and which uses an adaptive beacon and RTS/CTS packets for minimizing the idle listening and reducing the duty-cycle. Dong et al [11] have designed a Prediction-Based Asynchronous MAC protocol called (PBA-MAC) for heavy traffic load in WSNs.…”

Section: Related Workmentioning

confidence: 99%

A Kalman Filter Process for Energy Optimization in WSNs

Dbibih

Zytoune

Rziza

et al. 2019

JCOMSS

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Wireless sensor networks (WSNs) consist of a large number of small interconnected devices used to measure physical quantities or to monitor an event in a given area. These devices are called sensor nodes and are characterized by low memory, limited computing resources and they are usually powered by an irreplaceable battery. Therefore, it is essential to design and develop an effective and energy aware protocols allowing these nodes to minimize their energy consumption in order to extend the network lifespan. In this article, a new communication mechanism for IEEE 802.15.4 based WSNs called "Kalman Filter based MAC (KF-MAC) protocol" is proposed. KF-MAC is designed to maximize the efficiency of nodes energy consumption. As a result, the nodes lifespan will be extended as much as possible through Kalman predicting filter. The main KF-MAC purpose is to optimize the sleep interval of nodes between consecutive wake-ups. The sensor node should be awake only if it has to receive or to transmit data without introducing unnecessary overhearing or idle listening cost. In other words, there will be an adaptation between the activation of the transceivers and the node traffic flows. More importantly, KF-MAC uses a postponingbased retransmission mechanism that can efficiently resolve the wireless collisions problem caused by data flow contention. To validate KF-MAC protocol, we compare KF-MAC performances to some existing energy-efficient MAC protocols such as S-MAC protocol and IEEE 802.15.4 standard. The simulation results show that KF-MAC obtains better performance in terms of energy efficiency, Packet Delivery Ratio (PDR), the whole without affecting negatively the latency.

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“…These protocols have higher rates of collisions, overhearing and idle listening. Sensor-MAC (S-MAC) [7], timeout-MAC (T-MAC) [10], dynamic sensor-MAC (DS-MAC) [11], adaptive energy efficient-MAC (AEE-MAC) [12], International Journal of Advanced Computer Research, Vol 8 (38) synchronous receiver initiated-MAC (SRI-MAC) [13], Berkeley-MAC (B-MAC) [14], short preamble-MAC (X-MAC) [15], convergence-MAC (C-MAC) [16], receiver initiated-MAC (RI-MAC) [17] and predictive wakeup MAC (PW-MAC) [18] are typical examples of this category. We classify them into two groups synchronous and asynchronous built on the nature of their algorithms.…”

Section: 31contention-based Mac Protocolsmentioning

confidence: 99%

“…While the combination of RTS and ACK control packets reduces overhead and collision while creating better channel utilization. SRI-MAC [13], is a synchronous duty cycle protocol, it adopts the principle of receiver-initiated data transmission. In SRI-MAC, the receiver node transmits beacon signal advertising that it is awake and ready to receive data.…”

Section: Ds-macmentioning

confidence: 99%

Recent advances in energy efficient-QoS aware MAC protocols for wireless sensor network

Muzakkari

Mohamed

Kadir

et al. 2018

IJACR

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The emergence of wireless technologies has facilitated immense opportunities for optimal and efficient communication system. WSN is an effective communication technique which has expanded the application space ranging from public utilities, industrial monitoring and control, and defense and military operations. In general, WSN plays a significant role in wireless communication tool, and it has a great potential to serve as the next generation communication technology and for the future ubiquitous network. Such robustness have widened the usability of WSNs into various major applications and as such the technological development is expanding rapidly across the scientific horizon.

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Synchronous receiver initiated MAC protocol for long-lived sensor networks

Cited by 11 publications

References 12 publications

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

QoS Strategies for Wireless Multimedia Sensor Networks in the Context of IoT at the MAC Layer, Application Layer, and Cross-Layer Algorithms

A Kalman Filter Process for Energy Optimization in WSNs

Recent advances in energy efficient-QoS aware MAC protocols for wireless sensor network

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