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Decoding Code on a Sensor Node [chapter]

Pascal von Rickenbach, Roger Wattenhofer
2008 Lecture Notes in Computer Science  
The asymmetry of computational power available during the process of encoding (PC) and decoding (sensor node) necessitates a careful balancing of the decoder complexity to respect the limitations of today's  ...  This delta is then disseminated throughout the network allowing nodes to rebuild the new application based on their currently running code.  ...  To evaluate the decoder we measure the reconstruction time of the target image on a sensor node. Table 5 shows the decoding time for all cases dependent on the available buffer size at the decoder.  ... 
doi:10.1007/978-3-540-69170-9_27 fatcat:mpd7ym6kgzdrxc3z5ddlroyu2a

Constructing Error Correcting Codes for Wireless Sensor Networks

Xiao-Lin Yang, Yu-Mei Chen, Bin Zhou
2010 Information Technology Journal  
Based on the comparison, we can identify the code that would be suitable for a particular implementation strategy.  ...  The selection of an optimum error correcting code for wireless sensor network has been widely studied by many researchers in the past but a standard is yet to be set.  ...  Introduction Wireless Sensor Networks (WSNs) consists of a large numbers of wireless sensor nodes dispersed in an area of interest with one or more base stations, where data is collected.  ... 
doi:10.3923/itj.2010.1758.1760 fatcat:46miqpalo5hhrfirmpfu6cqaz4

Optimally Mapping an Iterative Channel Decoding Algorithm to a Wireless Sensor Network

S. B. Qaisar, S. Karande, K. Misra, H. Radha
2007 2007 IEEE International Conference on Communications  
In this paper, we present a novel scheme in which intermediate nodes conduct partial decoding of LDPC coded packets. In this scheme each node is assigned some number of decoding iterations.  ...  However, such an approach represents a major burden on powerconstrained sensors.  ...  Due to resource limitation of the sensor nodes, only few works have been done on channel coding in wireless sensor networks.  ... 
doi:10.1109/icc.2007.544 dblp:conf/icc/QaisarKMR07 fatcat:hvt6fbx4ijed7anbmmjvitdgsi

Non-binary joint network-channel decoding of correlated sensor data in wireless sensor networks

Arindra Guha, Eric T. Psota, Lance C. Perez
2011 2011 IEEE Wireless Communications and Networking Conference  
It is shown that, when the correlation model between sensors is known at the sink, the addition of a correlationbased decoder within the decoding framework greatly improves the error rate performance.  ...  Simulation results also indicate that the proposed correlation-based decoder is comparable to source coding across the correlated sensors in terms of error rate, while eliminating the need for costly sensor-to-sensor  ...  Both LDPC coding and network coding operate over the same Galois field GF (q). Fig. 2 . Two-sensor, one-sink network with two intermediate nodes.  ... 
doi:10.1109/wcnc.2011.5779264 dblp:conf/wcnc/GuhaPP11 fatcat:2vdfrrhqnvbpreq2eemtpbl2my

Optimal Progressive Error Recovery for Wireless Sensor Networks using Irregular LDPC Codes

Saad B. Qaisar, Hayder Radha
2007 2007 41st Annual Conference on Information Sciences and Systems  
However, low rate channel coding on end to end basis puts a considerable burden in terms of transmit energy on resource constrained sensor nodes.  ...  Precisely, we present a novel framework for processing within the network (in-network) using irregular low density parity check (LDPC) codes for channel coding, in which nodes progressively decode the  ...  W Resource limitation of sensor nodes have restricted studies on channel coding in sensor networks. Few works exist, and they as well are confined to end to end error protection.  ... 
doi:10.1109/ciss.2007.4298305 dblp:conf/ciss/QaisarR07 fatcat:d6m7y5ebvjgc7dmwfwj3oo6jsm

A Hybrid Adaptive Coding and Decoding Scheme for Multi-hop Wireless Sensor Networks

Imad Ez-zazi, Mounir Arioua, Ahmed El Oualkadi, Pascal Lorenz
2016 Wireless personal communications  
In this paper, we have proposed a hybrid adaptive coding and decoding scheme for multi-hop wireless sensor networks (WSNs).  ...  Check (LDPC) code to provide error protection on the transmitted data.  ...  A relevant decoding technique for binary RS codes is based on the Berlekamp-Massey (BM) and Chien's search (CS) which present a linear dependence on block length N .  ... 
doi:10.1007/s11277-016-3763-1 fatcat:h47zv733ybhcpnp7zkcbnwcmum

Distributed Coding/Decoding Complexity in Video Sensor Networks

Paulo J. Cordeiro, Pedro Assunção
2012 Sensors  
Then, a method to reduce the decoding complexity, suitable for system-on-chip implementation, is proposed to operate at the transcoding gateway whenever decoders with constrained resources are targeted  ...  In particular, the paper proposes a novel VSN architecture where large sets of visual sensors with embedded processors are used for compression and transmission of coded streams to gateways, which in turn  ...  In this context, wireless sensor networks (WSNs) are commonly comprised of a set of nodes, each one typically including a sensor, microcontroller, power supply and a wireless communication device [1]  ... 
doi:10.3390/s120302693 pmid:22736972 pmcid:PMC3376628 fatcat:ylknab3qv5bxhfscedifc6gvpm

OPERA: An Optimal Progressive Error Recovery Algorithm for Wireless Sensor Networks

Saad Bin Qaisar, Hayder Radha
2007 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks  
However, low channel coding rates on an end-to-end basis (between a source sensor and a destination base-station) requires a large number of transmissions of redundant data.  ...  Finally, while being naturally motivated by the sensor reachback problem, we further develop a fairness-based OPERA scheme for the allocation of channel-decoding LDPC iterations to sensor nodes taking  ...  Due to resource limitation of the sensor nodes, only few works have been done on channel coding in wireless sensor networks.  ... 
doi:10.1109/sahcn.2007.4292846 dblp:conf/secon/QaisarR07 fatcat:bhcxkhh3p5gw7meqtpxgkmtks4

A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks

J. Chou, D. Petrovic, Kannan Ramachandran
2003 IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428)  
Specifically, we propose a distributed way of continuously exploiting existing correlations in sensor data based on adaptive signal processing and distributed source coding principles.  ...  Our approach enables sensor nodes to blindly compress their readings with respect to one another without the need for explicit and energy-expensive inter-sensor communication to effect this compression  ...  In our first set of simulations, we ran the data gathering algorithm on one machine and the sensor node algorithms on a set of different machines.  ... 
doi:10.1109/infcom.2003.1208942 dblp:conf/infocom/ChouPR03 fatcat:fph345lt25fozao3jwr7rdxori

LT Codes with Double Encoding Matrix Reorder Physical Layer Secure Transmission

Hang Zhang, Fanglin Niu, Ling Yu, Si Zhang, Kashif Naseer
2022 Journal of Sensors  
Experimental results show that compared with other LT code PLS schemes, DEMR-LT codes only increase the decoding overhead by a small amount.  ...  To reduce the intercept efficiency of eavesdropping nodes, a physical layer security (PLS) method of LT codes with double encoding matrix reorder (DEMR-LT codes) is proposed.  ...  In Figure 1 , the wiretap channel model of wireless sensor networks based on LT codes mainly consists of the source node Alice, the destination node Bob, and the eavesdropping node Eve.  ... 
doi:10.1155/2022/6106786 fatcat:wx4yprsr6nhc5kurxlfdpgx4ja

A distributed and adaptive signal processing approach to exploiting correlation in sensor networks

Jim Chou, Dragan Petrovic, Kannan Ramchandran
2004 Ad hoc networks  
Specifically, we propose a distributed way of continuously exploiting existing correlations in sensor data based on adaptive signal processing and distributed source coding principles.  ...  Our approach enables sensor nodes to blindly compress their readings with respect to one another without the need for explicit and energy-expensive inter-sensor communication to effect this compression  ...  After K rounds of requests have been completed, the data gathering node can then ask for coded values from the sensor nodes and decode the coded value for sensor j with respect to its corresponding side  ... 
doi:10.1016/j.adhoc.2003.09.001 fatcat:hqn6ioqxvffqbhvfncmszdm2ba

Raptor codes based distributed storage algorithms for wireless sensor networks

Salah A. Aly, Zhenning Kong, Emina Soljanin
2008 2008 IEEE International Symposium on Information Theory  
We consider a distributed storage problem in a large-scale wireless sensor network with n nodes among which k acquire (sense) independent data.  ...  The goal is to disseminate the acquired information throughout the network so that each of the n sensors stores one possibly coded packet and the original k data packets can be recovered later in a computationally  ...  INTRODUCTION We consider a distributed storage problem in a large-scale wireless sensor network with n nodes among which k sensor nodes acquire (sense) independent data.  ... 
doi:10.1109/isit.2008.4595350 dblp:conf/isit/AlyKS08 fatcat:qfifggwc5nh6dd3lwtb3njys44

A Novel Redundant Data Storage Algorithm Based on Minimum Spanning Tree and Quasi-randomized Matrix

2018 KSII Transactions on Internet and Information Systems  
In this paper a novel redundant data storage algorithm based on minimum spanning tree and quasi-randomized matrix-QRNCDS is proposed.  ...  For intermittently connected wireless sensor networks deployed in hash environments, sensor nodes may fail due to internal or external reasons at any time.  ...  On the basis of LT codes, Aly [14] proposes a new kind of distributed data storage algorithm for WSNs called LTCDS-I.  ... 
doi:10.3837/tiis.2018.01.011 fatcat:wylz4esdzveo5ggrdo5ggo3aaa

Turbo codes for multi-hop wireless sensor networks with decode-and-forward mechanism

Nashat Abughalieh, Kris Steenhaut, Ann Nowé, Alagan Anpalagan
2014 EURASIP Journal on Wireless Communications and Networking  
The intermediate nodes run a Viterbi decoding algorithm to decode only the inner code of the SCCC encoder.  ...  In this paper, we present a low power consumption decode-and-forward approach for the multi-hop WSNs; a serial concatenation convolutional codes (SCCC) encoder is implemented at the source node while the  ...  Convolutional codes are decoded on a trellis using either Viterbi decoding, MAP decoding, or sequential decoding. Balakrishnan et al.  ... 
doi:10.1186/1687-1499-2014-204 fatcat:2t2uy3tmpjgvzfa4tyvsw2tky4

Finite Geometry Permutation Decoding for Wireless Sensor Network Applications

2017 Sensors and materials  
In this study, we propose a novel coding method, called geometry permutation decoding (GPD), for square sensor topologies.  ...  The GPD algorithm provides a two-dimensional geometry construction and decodes information sequences based on this construction.  ...  Conclusions In this report, we propose a novel decoding method based on partial geometry construction for error control coding in a grid-based sensor network.  ... 
doi:10.18494/sam.2017.1477 fatcat:7kc5xmcrvjh6zk5sh6jvqsyvr4
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