Smart-HOP: A Reliable Handoff Mechanism for Mobile Wireless Sensor Networks

Fotouhi, Hossein; Zúñiga, Marco; Alves, Mário; Koubâa, Anis; Marrón, Pedro José

doi:10.1007/978-3-642-28169-3_9

Cited by 36 publications

(35 citation statements)

References 20 publications

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“…As long as the node remains static, it joins the existing routing tree by running an instance of CTP. As soon as the on-board accelerometer detects a significant movement, it switches to a route-less gossip protocol, which allows the node to relay data to the static infrastructure opportunistically [7]. In addition, the node may switch between three parameter sets for CTP, depending on context information that determine whether lifetime, bandwidth, or latency is to be favored.…”

Section: A Applicationsmentioning

confidence: 99%

Context-Oriented Programming for Adaptive Wireless Sensor Network Software

Afanasov

Mottola

Ghezzi

2014

2014 IEEE International Conference on Distributed Computing in Sensor Systems

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Abstract-We present programming abstractions for implementing adaptive Wireless Sensor Network (WSN) software. The need for adaptability arises in WSNs because of unpredictable environment dynamics, changing requirements, and resource scarcity. However, after about a decade of research in WSN programming, developers are still left with no dedicated support. To address this issue, we bring concepts from Context-Oriented Programming (COP) down to WSN devices. Contexts model the situations that WSN software needs to adapt to. Using COP, programmers use a notion of layered function to implement context-dependent behavioral variations of WSN code. To this end, we provide language-independent design concepts to organize the context-dependent WSN operating modes, decoupling the abstractions from their concrete implementation in a programming language. Our own implementation, called CONESC, extends nesC with COP constructs. Based on three representative applications, we show that CONESC greatly simplifies the resulting code and yields increasingly decoupled implementations compared to nesC. For example, by model-checking every function in either implementations, we show a ≈50% reduction in the number of program states that programmers need to deal with, indicating easier debugging. In our tests, this comes at the price of a maximum 2.5% (4.5%) overhead in program (data) memory.

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Section: A Applicationsmentioning

confidence: 99%

Context-Oriented Programming for Adaptive Wireless Sensor Network Software

Afanasov

Mottola

Ghezzi

2014

2014 IEEE International Conference on Distributed Computing in Sensor Systems

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“…This is especially true for indoor applications where obstacles such as walls could cause an almost instant loss of connection. Moreover, Fotouhi et al [24] show that handover should be made in the lower end (close to the disconnected region) of the transitional region (at least in sparse WSNs). Hence, we cannot trust the link to the current AP as it is just about to break.…”

Section: Forward Vs Backwardmentioning

confidence: 99%

“…The more advanced handover decision models such as pattern recognition and machine learning will not be considered; there exist other decision models more suitable for sensor devices [4]. Finally, throughout the thesis, the network is assumed to consist of static mains powered APs, i.e.…”

Section: Scopementioning

confidence: 99%

“…• Fotouhi et al [4]: describes a handover algorithm in detail (focusing on reliability). A fuzzy logic approach for evaluating several parameters in order to make good handover decisions is proposed.…”

Section: Related Workmentioning

confidence: 99%

“…• Smart-HOP [24]: empirically evaluates a handover algorithm and fine tunes parameters in order to optimize the algorithm.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

An energy-efficient handover algorithm for wireless sensor networks

Saveros

Gong

Carlsson

et al. 2016

2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC)

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The recent advancements in the communication area have enabled the Internet of Things, a paradigm which extends the Internet to everyday objects. The Internet of Things enables many new applications, but also comes with great challenges; effective communication under limited power supply being the perhaps most important one.This thesis presents the design, implementation, and evaluation of an energy-efficient handover algorithm for the main building block in the creation of the Internet of Things: wireless sensor networks. Our low-power handover design is based on a careful breakdown and analysis of the potential power consumption of different components of the handover process. With the scanning part of the process being identified as the main drain of energy, the algorithm is designed to place the majority of the scanning responsibility on the mains powered access points, rather than on the low-power mobile nodes.The proposed algorithm has been implemented and its functionality and low power consumption have been empirically evaluated. We show that the design can reduce the energy consumption by several orders of magnitude compared to existing handover algorithms for wireless sensor networks. In addition, interesting fading effects were discovered in a sparsely deployed network scenario with limited access point coverage; most likely due to multipath propagation. For this case the handover performance was greatly reduced, relative our more normal coverage scenario. While these results illustrate that the absolute energy savings will differ from scenario to scenario, the potential energy savings made possible by the proposed algorithm significantly reduce the battery requirements of the devices in the emerging landscape of the Internet of Things; potentially even opening the door for new devices to connect.

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MARPL: A crosslayer approach for Internet of things based on neighbor variability for mobility support in RPL

Kniess

Marques

2020

Trans Emerging Tel Tech

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Internet of things (IoT) proposes the use of devices with low energy capacity, processing, and memory power for a range of applications such as environmental monitoring and smart health. Such devices usually have sensing and wireless communication capabilities. Low power and lossy networks on mobile devices are a common type of wireless network in IoT applications. This article proposes the mobility aware RPL (MARPL), which is an extension of the IPv6 routing protocol for low-power and lossy network (RPL) in order to enhance its performance in networks with mobile nodes. The mobility of nodes increases packet loss in the canonical RPL protocol. The MARPL mobility mechanism adopts a crosslayer approach. The network layer uses signal strength measurements from the media access layer to calculate a node's variability neighborhood. Performance evaluation results obtained by the Cooja simulator confirm the effectiveness of MARPL regarding link disconnection prevention, packet delivery rate, low overhead, and energy consumption when compared with other protocols.

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Smart-HOP: A Reliable Handoff Mechanism for Mobile Wireless Sensor Networks

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Cited by 36 publications

References 20 publications

Context-Oriented Programming for Adaptive Wireless Sensor Network Software

Context-Oriented Programming for Adaptive Wireless Sensor Network Software

An energy-efficient handover algorithm for wireless sensor networks

MARPL: A crosslayer approach for Internet of things based on neighbor variability for mobility support in RPL

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