GTS size adaptation algorithm for IEEE 802.15.4 wireless networks

Zhan, Yufeng; Xia, Yuanqing; Anwar, Mashood

doi:10.1016/j.adhoc.2015.09.012

Cited by 30 publications

(9 citation statements)

References 11 publications

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“…Several research works have been proposed in the context of maximizing the devices lifetime and which are based on the IEEE 802.15.4. In [6], the authors proposed GTS (Guaranteed Time Slot) Size Adaptation Algorithm (GSAA) that defines a new GTS allocation scheme that will set the GTS size for it to be adapted according to the data size of the devices. The authors of [7] presented a cross-layer solution to the problem of PAN coordinator election; this solution is a process topology formation of the network operating at the MAC layer of the IEEE 802.15.4 using a topology reconfiguration algorithm defined at the network layer.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Duty-Cycle Scheme Based on a New Prediction Mechanism for Energy Optimization over IEEE 802.15.4 Wireless Network

Dbibih¹,

Zytoune²

2018

IJIES

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One of the toughest challenges encountered in Wireless Sensor Networks (WSNs) is the limited power resources, which directly affects the network services quality and the sensors lifetime. Therefore, the proposed protocols must prolong the network lifetime as long as possible by minimizing the major sources of energy waste duo to the idle listening (no sent or received packets by the sensor). In this paper we propose a new communication protocol based on IEEE 802.15.4 standard called Adaptive Duty-cycle (AD-MAC) that aims at reducing the energy dissipation where the transceiver is waiting potential packets. AD-MAC protocol mainly intends to reduce the power consumed by sensors in Beacon-Enabled mode via a dynamic duty-cycling technique. AD-MAC protocol optimizes the sleep interval between consecutive wake-ups without negatively influencing network performance. This solution uses a new predicting mechanism to estimate the moment when the sensors wake up or sleep according to previous traffic load statistics. Simulation results via NS-2 simulator show that AD-MAC protocol outperforms IEEE 802.15.4 standard in terms of minimizing energy consumption, and Packet Delivery Ratio (PDR).

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Section: Related Workmentioning

confidence: 99%

Adaptive Duty-Cycle Scheme Based on a New Prediction Mechanism for Energy Optimization over IEEE 802.15.4 Wireless Network

Dbibih¹,

Zytoune²

2018

IJIES

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“…An analytical model based on a Markov chain for the GTS allocation scheme in the contention-free period (CFP) is presented in [ 10 ]. Authors in [ 11 , 12 ] have designed the GTS allocation scheme based on the data size and mobility of the devices for an optimal utilization of the channel bandwidth. In a wireless network due to some hardware failure, devices associated with particular application start sending faulty data.…”

Section: Related Workmentioning

confidence: 99%

A Novel IEEE 802.15.4e DSME MAC for Wireless Sensor Networks

Sahoo

Pattanaik

2017

Sensors

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IEEE 802.15.4e standard proposes Deterministic and Synchronous Multichannel Extension (DSME) mode for wireless sensor networks (WSNs) to support industrial, commercial and health care applications. In this paper, a new channel access scheme and beacon scheduling schemes are designed for the IEEE 802.15.4e enabled WSNs in star topology to reduce the network discovery time and energy consumption. In addition, a new dynamic guaranteed retransmission slot allocation scheme is designed for devices with the failure Guaranteed Time Slot (GTS) transmission to reduce the retransmission delay. To evaluate our schemes, analytical models are designed to analyze the performance of WSNs in terms of reliability, delay, throughput and energy consumption. Our schemes are validated with simulation and analytical results and are observed that simulation results well match with the analytical one. The evaluated results of our designed schemes can improve the reliability, throughput, delay, and energy consumptions significantly.

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“…To improve the reliability of industrial networks, several methods to address critical data flows have been proposed. The work presented in [ 18 ] improves the performance for critical data flows by the algorithms of slot assignment, and the work reported in [ 19 ] presents similar methods. With the introduction of the concept of a mixed-criticality system [ 20 , 21 ], the schedulability of highly critical data flows in industrial networks can be improved by switching the system into high-criticality mode.…”

Section: Related Workmentioning

confidence: 99%

Scheduling for Emergency Tasks in Industrial Wireless Sensor Networks

Xia

Jin

Kong

et al. 2017

Sensors

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Wireless sensor networks (WSNs) are widely applied in industrial manufacturing systems. By means of centralized control, the real-time requirement and reliability can be provided by WSNs in industrial production. Furthermore, many approaches reserve resources for situations in which the controller cannot perform centralized resource allocation. The controller assigns these resources as it becomes aware of when and where accidents have occurred. However, the reserved resources are limited, and such incidents are low-probability events. In addition, resource reservation may not be effective since the controller does not know when and where accidents will actually occur. To address this issue, we improve the reliability of scheduling for emergency tasks by proposing a method based on a stealing mechanism. In our method, an emergency task is transmitted by stealing resources allocated to regular flows. The challenges addressed in our work are as follows: (1) emergencies occur only occasionally, but the industrial system must deliver the corresponding flows within their deadlines when they occur; (2) we wish to minimize the impact of emergency flows by reducing the number of stolen flows. The contributions of this work are two-fold: (1) we first define intersections and blocking as new characteristics of flows; and (2) we propose a series of distributed routing algorithms to improve the schedulability and to reduce the impact of emergency flows. We demonstrate that our scheduling algorithm and analysis approach are better than the existing ones by extensive simulations.

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GTS size adaptation algorithm for IEEE 802.15.4 wireless networks

Cited by 30 publications

References 11 publications

Adaptive Duty-Cycle Scheme Based on a New Prediction Mechanism for Energy Optimization over IEEE 802.15.4 Wireless Network

Adaptive Duty-Cycle Scheme Based on a New Prediction Mechanism for Energy Optimization over IEEE 802.15.4 Wireless Network

A Novel IEEE 802.15.4e DSME MAC for Wireless Sensor Networks

Scheduling for Emergency Tasks in Industrial Wireless Sensor Networks

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