Precise Delta Extraction Scheme for Reprogramming of Wireless Sensor Nodes

Eronu, EM; Misra, Sanjay

doi:10.4314/njt.v35i1.22

Cited by 2 publications

(7 citation statements)

References 13 publications

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“…The benefits of the context based reconfiguration model is demonstrated via the use of two contexts related input variables. The first variable is obtained using a delta extraction tool refer to as Precise Delta Extraction (PDE) [ 3 ] devised for extracting context information from the delta of two files (application related context). The second variable entails the battery energy level state of the sensor node taken as an operational-demand related context.…”

Section: Methodsmentioning

confidence: 99%

“…In practice, only the first and the last are more pronounced. A delta extraction tool based on the Precise Delta Extraction (PDE) scheme as presented in [3] provides the address of every delta detected, which invariably can be helpful in pinpointing the exact segment where they occur. This information allows for erasure and rewriting operations to be carried out within only selected segment(s) of relevance.…”

Section: Firmware Reconstruction Algorithmmentioning

confidence: 99%

“…Adopting the Castalia framework, a network of six wireless sensor nodes was setup on the OMNeT++ platform. One of the nodes SNode[0] serves as the agent that links all the other sensor nodes to the base station, three of the nodes SNode [2] , SNode [3] and SNode [5] were programmed with context based reconfiguration capabilities and the remaining other two nodes SNode [1] and SNode [4] take on default reconfiguration paradigm. Figures 11 depicts the nodes arrangement within the network.…”

Section: Simulation Platformmentioning

confidence: 99%

“…A summary of the results obtained for three case studies described in [3] and adopted for this research work are presented in Table 1. The results obtained were categorised under the following: the delta(s) size, the physical address range of the delta(s), related ELF segments where the delta resides, delta orientation and the number of segment(s) involved.…”

Section: Adopted Data For Evaluation Purposementioning

confidence: 99%

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Use of Contextual Information to Optimize Wireless Sensor Node’s Energy Consumption Rate during Reprogramming Procedures

Emmanuel¹,

Emmanuel²

2016

IJCA

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This research work explores the use of context information to improve upon wireless sensor networks performance by reducing the energy consumption rate during reprogramming processes. A software system that dynamically reconfigures wireless sensor network operational functionalities optimally based on evolving application context is developed. In order to demonstrate the benefits of the context based reconfiguration model, two contexts related input variables were used. The first variable is obtained using a metric tool (PDE) devised for extracting the delta of two files (application related context). The second variable entails the battery energy level state of the sensor node taken as an operationaldemand related context. A robust inference engine was developed based on the inferred expert knowledge on memory related energy consumption pattern during the reconfiguration process. The resulting output from the fuzzy logic controller decides when and which of the reconfiguration approach is to be implemented in order to prolong the battery life. The model's performance was evaluated on an OMNet++ simulation platform using pilot data obtained from a test bed composed of Microchips" PIC32MX320F128H microcontroller and MRF24J40MB transceiver. In a network of six nodes, two were equipped with the developed model capability and the others were not. The overall energy expended as read, erase and write were obtained from each node for the purpose of comparison. Results obtained show that 65% of energy expended during the erasure procedure is saved in nodes that adopt the context-based reconfiguration model. Similarly, 45% and 69% reduction in energy consumption were obtained for the read and write procedures respectively.

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Section: Methodsmentioning

confidence: 99%

Section: Firmware Reconstruction Algorithmmentioning

confidence: 99%

Section: Simulation Platformmentioning

confidence: 99%

Section: Adopted Data For Evaluation Purposementioning

confidence: 99%

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Use of Contextual Information to Optimize Wireless Sensor Node’s Energy Consumption Rate during Reprogramming Procedures

Emmanuel¹,

Emmanuel²

2016

IJCA

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“…It is the component that distinguishes wireless sensor nodes from other portable devises [11] with information transmitting capabilities. Since information gathered from the field is analogue, the sensor unit is usually composed of two sub-units [12,17], the sensor and the analogue to digital converter (ADC). The ADC converts the analogue signal generated by the sensor and is passed unto the microcontroller for further processing.…”

Section: Materials and Methods 21 Materialsmentioning

confidence: 99%

Design and implementation of a low cost experimental testbed for wireless sensor networks

2018

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As wireless sensor networks (WSNs) become essential part of modern day infrastructure, researchers have presented loads of algorithms and models aimed at optimizing several aspects of the technology. These models are often developed and analyzed in simulated environments. The obvious need to experiment and confirm the actual performance of these algorithms and models on the field or in a more realistic environment is hampered in many cases by the high cost of advanced sensor node available in the market. This study therefore presents an inexpensive WSN test bed designed and constructed from an ESP8266EX Wi-Fi module. An experiment was conducted and results revealed that ESP8266EX based sensor nodes have a wider network coverage compared to the Arduino sensors based test bed. The proposed test bed was used to compare the performances in terms of power management of two WSN routing algorithms; normal Low Energy Adaptive Clustering Hierarchy (LEACH) and Cluster Head Assisted Routing (CHAR). Results show that the rate at which batteries depleted in LEACH and CHAR are 50% and 10% respectively; and this indicates that batteries depleted faster in LEACH than CHAR; therefore it can be stated that there is an improvement in energy conservation in CHAR over LEACH. It was also observed that CHAR produced a more even and gradual battery depletion rate leading to a longer network life of 20 rounds more than normal LEACH.

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Precise Delta Extraction Scheme for Reprogramming of Wireless Sensor Nodes

Cited by 2 publications

References 13 publications

Use of Contextual Information to Optimize Wireless Sensor Node’s Energy Consumption Rate during Reprogramming Procedures

Use of Contextual Information to Optimize Wireless Sensor Node’s Energy Consumption Rate during Reprogramming Procedures

Design and implementation of a low cost experimental testbed for wireless sensor networks

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