Reducing Packet Losses in Networks of Commodity IEEE 802.15.4 Sensor Motes Using Cooperative Communication and Diversity Combination

Ilyas, Muhammad; Kim, M.; Radha, Hayder

doi:10.1109/infcom.2009.5062102

Cited by 13 publications

(9 citation statements)

References 17 publications

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“…One example of a WSN hardware platform that supports NETMF is the Crossbow Imote2 [13], which contains a PXA271 processor capable of running at 13-416 MHz, 32 MB of SDRAM and 32 MB of flash memory. The Imote2 has a CC2420 802.15.4-capable transceiver on-board [14].…”

Section: Net Micro Frameworkmentioning

confidence: 99%

Exploring the microsoft .NET micro framework for prototyping applied Wireless Sensor Networks

Carlson

Mittek

Pérez

2013

IEEE International Conference on Electro-Information Technology , EIT 2013

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Abstract-Most Wireless Sensor Network platforms -such as the Mica, Iris, and Telos B families of motes -use lowpower 8-bit microprocessors which have limited memory and processing capabilities, thus requiring researchers to implement communication protocols and data processing routines using lowlevel programming practices that are tedious and cumbersome. Rich features available in modern desktop operating systemssuch as threads, memory management, and exception-handlingare largely absent. The Microsoft .NET Micro Framework implements a scaled-back .NET framework suitable for development on low-cost, low-power wireless sensors, while providing developers a rapid software development environment for prototyping embedded applications. Here, this technology is explored by comparing performance characteristics with those of traditional 8-bit platforms, as well as Sun SPOT, a popular platform that also uses a managed-language runtime. The .NET Micro Framework platform was found to offer researchers the most flexibility in terms of hardware and software prototyping.

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Section: Net Micro Frameworkmentioning

confidence: 99%

Exploring the microsoft .NET micro framework for prototyping applied Wireless Sensor Networks

Carlson

Mittek

Pérez

2013

IEEE International Conference on Electro-Information Technology , EIT 2013

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“…Other schemes, such as CLDS and ACE, utilize information available in the current 802.11 link-layer protocols in conjunction with error correcting codes to recover corrupted packets. Ilyas et al [24] proposed the "Poor Man's SIMO System" (PMSS) to reduce packet losses in networks of commodity IEEE 802.15.4 sensor motes using cooperative communication and diversity combination. Based on mathematical analysis, Jelenkovi et al [4] proposed a new dynamic packet fragmentation algorithm that can adaptively match channel failure characteristics.…”

Section: B Simulation On Matlabmentioning

confidence: 99%

CEDAR: An optimal and distributed strategy for packet recovery in wireless networks

Qiu

Shen

Soltani

et al. 2013

2013 Proceedings IEEE INFOCOM

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Underlying link-layer protocols of wireless networks use the conventional "store and forward" design paradigm cannot provide highly sustainable reliability and stability in wireless communication, which introduce significant barriers and setbacks in scalability and deployments of wireless networks. In this paper, we propose a Code Embedded Distributed Adaptive and Reliable (CEDAR) link-layer framework that targets low latency and high throughput. CEDAR is the first comprehensive theoretical framework for analyzing and designing distributed and adaptive error recovery for wireless networks. It employs a theoretically-sound framework for embedding channel codes in each packet and performs the error correcting process in selected intermediate nodes in packet's route. To identify the intermediate nodes for the en/decoding for minimizing average packet latency, we mathematically analyze the average packet delay, using Finite State Markovian Channel model and priority queuing model, and then formalize the problem as a non-linear integer programming problem. Also, we propose a scalable and distributed scheme to solve this problem. The results from real-world testbed "NESTbed" and simulation with Matlab prove that CEDAR is superior to the schemes using hop-by-hop decoding and destination-decoding not only in packet delay but also in throughput. In addition, the simulation results show that CEDAR can achieve the optimal performance in most cases.

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“…The ''Poor Man's SIMO System'' (PMSS) described by Ilyas, Kim and Radha [14] differs from gPMSS in the way clusters of receivers are formed. In PMSS, cluster creation is explicit, and involved an exchange of messages between R2 and R1 and also between R3 and R1 after which R2 and R3 would become associated with R1 to act as cooperating receiver.…”

Section: Gpmss Cluster Creationmentioning

confidence: 99%

“…In contrast, in gPMSS once it is determined that cooperating receivers need to communicate with R1, transmission times are chosen randomly. For more details about PMSS we refer the reader to [14]. For the following discussion we will assume that this way two nodes R2 and R3 placed close to R1 make the assessment that they enjoy a reliable wireless channel with R1 and volunteer to assist it as cooperating receivers.…”

Section: Gpmss Cluster Creationmentioning

confidence: 99%

On enabling cooperative communication and diversity combination in IEEE 802.15.4 wireless networks using off-the-shelf sensor motes

2011

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This paper presents the 'Generalized Poor Man's SIMO System' (gPMSS) which combines two approaches, cooperative communication and diversity combination, to reduce packet losses over links in wireless sensor networks. The proposed gPMSS is distinct from previous cooperative communication architectures in wireless sensor networks which rely on a relay channel, and also distinct from implementations in 802.11 networks that require a wired infrastructure or hardware changes for cooperation. gPMSS foregoes the need for any changes to mote hardware and it works within the current IEEE 802.15.4 standard. We describe the gPMSS protocol that governs the cooperation between receivers. Three variants are evaluated including selection diversity, equal gain and maximal ratio combining. First, we demonstrate gPMSS on bit error traces in a fully reproducible manner. This is followed by an implementation of gPMSS in C# on the .NET Micro Framework edition of the recently released Imote2 mote platform. We demonstrate by means of experiments an increase in the packet reception rate from 22-30% to 73-76%, a relative increase of 150-245%. We also analyzed the power consumed by the transmitter per delivered packet and observe a reduction of up to 68%. We also take into account the retry limit of the IEEE 802.15.4 protocol and demonstrate that gPMSS is able to provide 99% packet delivery at the protocol's default retry parameters against 65-75% without it.

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Reducing Packet Losses in Networks of Commodity IEEE 802.15.4 Sensor Motes Using Cooperative Communication and Diversity Combination

Cited by 13 publications

References 17 publications

Exploring the microsoft .NET micro framework for prototyping applied Wireless Sensor Networks

Exploring the microsoft .NET micro framework for prototyping applied Wireless Sensor Networks

CEDAR: An optimal and distributed strategy for packet recovery in wireless networks

On enabling cooperative communication and diversity combination in IEEE 802.15.4 wireless networks using off-the-shelf sensor motes

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