A comprehensive survey on multichannel routing in wireless sensor networks

Rehan, Waqas; Fischer, Stefan; Rehan, Maaz; Rehmani, Mubashir Husain

doi:10.1016/j.jnca.2017.07.006

Cited by 44 publications

(28 citation statements)

References 111 publications

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“…Some of them are focused on use cases, for example illustrating different mobility management protocols using 6LoWPAN technology [23], discussing the application of WSN in Urban Areas [24] and multiple streaming in WSN [25]. Others are focused on protocol stack design, for example, analyzing the performance of multiple resource allocation algorithms at different protocol layers [26] and multichannel routing algorithms [27]. A third type is focused on specific techniques, for example utilizing channel bonding to increase the bandwidth of wireless networks [28] and presenting a new fuzzy logic based node localization mechanism [29].…”

Section: Classifying CI Prior Artmentioning

confidence: 99%

Constructive Interference in 802.15.4: A Tutorial

Chang

Watteyne

Vilajosana

et al. 2019

IEEE Commun. Surv. Tutorials

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Constructive Interference (CI) can happen when multiple wireless devices send the same frame at the same time. If the time offset between the transmissions is less than 500 ns, a receiver will successfully decode the frame with high probability. CI can be useful for achieving low-latency communication or lowoverhead flooding in a multi-hop low-power wireless network. The contribution of this article is three-fold. First, we present the current state-of-the-art CI-based protocols. Second, we provide a detailed hands-on tutorial on how to implement CI-based protocols on TelosB motes, with well documented open-source code. Third, we discuss the issues and challenges of CI-based protocols, and list open issues and research directions. This article is targeted at the level of practicing engineers and advanced researchers and can serve both as a primer on CI technology and a reference to its implementation.

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Section: Classifying CI Prior Artmentioning

confidence: 99%

Constructive Interference in 802.15.4: A Tutorial

Chang

Watteyne

Vilajosana

et al. 2019

IEEE Commun. Surv. Tutorials

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“…The routing path π * i ( * is a wild-card character, representing e and t ) of flow f * i is from a sensor sn * i via the gateway n 0 to an actuator dn * i , and contains c * i hops. Since routing is already well-studied [17], we do not propose any routing algorithm and consider that the routes are already generated based on some existing algorithms [18].…”

Section: Problem Statementmentioning

confidence: 99%

Real-Time Scheduling for Event-Triggered and Time-Triggered Flows in Industrial Wireless Sensor-Actuator Networks

Jin

Saifullah

et al. 2019

IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

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Wireless sensor-actuator networks enable an efficient and cost-effective approach for industrial sensing and control applications. To satisfy the real-time requirement of such applications, these networks adopt centralized scheduling algorithms to optimize the real-time performance based on global information. Existing centralized algorithms mostly focus on scheduling time-triggered flows. They cannot effectively schedule event-triggered flows due to the dynamics and unpredictability of events. In this paper, we propose three fundamental centralized algorithms that reserve as few resources as possible for eventtriggered flows such that the real-time performance of timetriggered flows is not affected. We then analyze their advantages and disadvantages. Based on the analysis, we combine their advantages, including those in terms of their resource requirements, into a centralized algorithm. Finally, we conduct extensive simulations based on both real topologies and random topologies. The simulations indicate that for most test cases the schedulability of our combined algorithm is close to optimal solutions.

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“…These nodes location is estimated by using location of anchor nodes. Many localization approaches were given by researchers in the past years [8,[17][18][19][20][21][22][23]. In this paper our major focus is on localization methods using distance measurements and estimated location optimization using PSO based bio inspired algorithm in mobility based scenario.…”

Section: Related Workmentioning

confidence: 99%