Hybrid Channel Access Scheduling in Ad Hoc Networks

Bao, Lichun; Garica-Luna-Aceves, J.J.

doi:10.21236/ada461756

Cited by 31 publications

(22 citation statements)

References 12 publications

(24 reference statements)

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“…It highly depends on the idle duty cycle defined as the effective duty cycle when networks are idle. k f ix determines the idle duty cycle of the fixed scheme, and the idle duty cycle is 100ms/1.5s × 100 = 6.6%, 13.3%, 20% when k f ix is 100ms, 200ms, and 300ms, respectively, while the idle duty cycle of the adaptive scheme is the same as the SDF overhead (3.3%) defined by (4). Hence, the adaptive scheme is highly superior than the fixed scheme.…”

Section: Simulation Resultsmentioning

confidence: 99%

Traffic-Aware MAC Protocol Using Adaptive Duty Cycle for Wireless Sensor Networks

Bac

Kwak

Kim

2008

Lecture Notes in Computer Science

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Abstract. Most of sensor MAC protocols have a fixed duty cycle, which performs poorly under the dynamic traffic condition observed in eventdriven sensor applications such as surveillance, fire detection, and objecttracking system. This paper proposes a traffic-aware MAC protocol which dynamically adjusts the duty cycle adapting to the traffic load. Our adaptive scheme operates on a tree topology, and nodes wake up only for the time measured for successful transmissions. By adjusting the duty cycle, it can prevent packet drops and save energy. The simulation results show that our scheme outperforms a fixed duty cycle scheme [5] and B-MAC [9], hence, it can achieve high packet fidelity and save energy.

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Section: Simulation Resultsmentioning

confidence: 99%

Traffic-Aware MAC Protocol Using Adaptive Duty Cycle for Wireless Sensor Networks

Bac

Kwak

Kim

2008

Lecture Notes in Computer Science

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“…The scheduling-based MAC is proposed to achieve contention-free communication [8], [9], [26]. However, it assumes that contenders have consistent knowledge of their two-hop neighborhood and traffic distribution, which may be prohibitively expensive to maintain with a single shared channel.…”

Section: Mitigating the Hidden/exposed-terminal Problemmentioning

confidence: 99%

“…For example, when the threshold is set to SR threshd i ¼ ð1 À p rss i Þ þ ð1 À p rss iþ1 Þ À Á =2, we would lose the throughput at the RSSs whose SRs are less than SR threshdi . Therefore, the cost (in terms of throughput) can be calculated with (9). However, the time (T 0 i ¼ P 1Àp rss j <SR threshd i T rssj or P j i T rssj ) saved by not contending for the channel at the RSSs whose SRs are less than SR threshdi could be utilized for packet transmissions at the RSSs with higher SRs.…”

Section: Optimal Threshold For Channel Access Srmentioning

confidence: 99%

SELECT: Self-Learning Collision Avoidance for Wireless Networks

Chen

Seo

Kim

et al. 2008

IEEE Trans. on Mobile Comput.

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The limited number of orthogonal channels and autonomous installations of hot spots and home wireless networks often leave neighboring 802.11 basic service sets (BSSs) operating on the same or overlapping channels, therefore interfering with each other. However, the 802.11 medium access control (MAC) does not work well in resolving inter-BSS interference due to the well-known hidden/exposed-receiver problem, which has been haunting the research community for more than a decade. In this paper, we propose SELECT, an effective and efficient self-learning collision avoidance strategy to address the hidden/exposed-receiver problem in 802.11 wireless networks. SELECT is based on the observation that carrier sense with received signal strength (RSS) measurements at the sender and the receiver can be strongly correlated. A SELECT-enabled sender exploits such correlation using an automated online learning algorithm and makes an informed judgment of the channel availability at the intended receiver. SELECT achieves collision avoidance at packet-level time granularity, involves zero communication overhead, and easily integrates with the 802.11 Distributed Coordination Function (DCF). Our evaluation in analysis, simulations, and prototype experiments show that SELECT addresses the hidden/exposed-receiver problem well. In typical hidden/exposed-receiver scenarios, SELECT improves the throughput by up to 140 percent and the channel access success ratio by up to 302 percent while almost completely eliminating contention-induced data packet drops.Index Terms-Wireless communication, access schemes, algorithm/protocol design and analysis.

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“…Schedule-based solutions to the medium access problemsuch as those presented in [4], [3], [14] -eliminate collisions, improving channel efficiency substantially. Furthermore, using time slots to arbitrate medium access makes it possible to do more effective sleep-scheduling [14] and thus considerably improve energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

The case for using traffic forecasting in schedule-based channel access

Petkov

2011

2011 IEEE Consumer Communications and Networking Conference (CCNC)

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In this paper, we explore the idea of using traffic forecasting to improve the delay performance of a schedulebased medium access control protocol. Schedule-based channel access has been shown to utilize network and energy resources efficiently but is often hindered by the extra delay that scheduling introduces. We explore the use of traffic forecasting to anticipate transmission schedules instead of establishing them reactively, thereby reducing scheduling delays. We show the potential performance benefits traffic forecasting can bring to schedulebased medium access in the context of an existing MAC protocol called DYNAMMA [14]. Preliminary results using a machinelearning based traffic forecasting technique are also presented.

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Hybrid Channel Access Scheduling in Ad Hoc Networks

Abstract: We present the hybrid activation multiple access (HAMA)

Cited by 31 publications

References 12 publications

Traffic-Aware MAC Protocol Using Adaptive Duty Cycle for Wireless Sensor Networks

Traffic-Aware MAC Protocol Using Adaptive Duty Cycle for Wireless Sensor Networks

SELECT: Self-Learning Collision Avoidance for Wireless Networks

The case for using traffic forecasting in schedule-based channel access

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