Self-optimized collaborative data communication in wireless sensor networks

Banitalebi, Behnam; Miyaki, Takashi; Schmidtke, Hedda R.; Beigl, Michael

doi:10.1145/1998642.1998648

Cited by 5 publications

(5 citation statements)

References 8 publications

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“…Banitalebi et al [16] propose an algorithm to optimize the collaborative data communication algorithms in terms of energy efficiency, reliability and life time of sensor nodes. This algorithm focus on minimizing the energy consumption by decreasing the number of collaborative nodes and at the same time guarantees the demanded quality by selecting the higher quality nodes to participate in the collaboration.…”

Section: Cooperative Issuesmentioning

confidence: 99%

The need of software development process for wireless sensor networks with cooperative nodes

Berkenbrock

Junior

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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Wireless sensor network (WSN) is a technology used to collect data from different sources. The development of WSNs offer complex challenges. Developers of WSN systems should be aware of issues such as energy-efficient network management and cooperation among nodes. The advancement in sensor nodes have created new opportunities for cooperation. This paper addresses the lack of software development process for WSN systems. In addition to that, we consider that cooperation among nodes could be successfully applied in wireless sensor networks. Nodes can cooperate to perform tasks such as verification of operation condition, improve the management of energy consumption and efficiency of data capture. However, we argue and propose cooperative considerations that should be investigated during the software development process.

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Section: Cooperative Issuesmentioning

confidence: 99%

The need of software development process for wireless sensor networks with cooperative nodes

Berkenbrock

Junior

2015

2015 IFIP/IEEE International Symposium on Integrated Network Management (IM)

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“…To aim this goal, we apply the technique suggested in [8]. The SNR of the signal received by a sensor node directly affect the bit error rate according to (1).…”

Section: Variable Hop Cost Distance Vector Routingmentioning

confidence: 99%

Transmission channel sensitive multi-metric routing for Wireless Sensor Networks

Banitalebi

Beigl

2012

2012 International Conference on Wireless Communications in Underground and Confined Areas

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Abstract-Multi-metric hop cost model is an efficient way to improve the performance of routing protocols and provide more flexibility. Depending on the network objectives and characteristics, various parameters like hop count, energy consumption, and relay load affect the overall hop and path cost. In this paper, after presentation of the situations which degrades the routing performance in WSNs, we propose a more realistic hop cost model including transmission loss, and energy storage and relay traffic of the nodes. Two methods to achieve metrics and apply the new model to the DV-based routing protocols are then presented. Numerical analyses approve the effectiveness of the new hop cost model to regulate the energy storage in the network and improve the energy efficiency by selection of the paths which have better quality in terms of transmission channel and node state. The cost of these improvements is an increase in the length of the path as the best path is not necessarily the shortest one. It is also shown that the effectiveness of the new model is controllable as the overall cost is a weighted summation of the old and new path cost metric.

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“…The new technology, LoRaWAN which operates in the sub-GHz range is capable of providing a long-range radio link over several kilometers with a very small amount of energy consumption [16], [17]. LoRaWAN along with a collaborative network provides efficient data sensing, storage, transmission, and query processing [3], [7]. The Collaborative LoRaWAN network architecture used in this work is depicted in Figure1.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Collaborative Energy Efficient IoT-Based LoRa WAN

Sarvagya,

Prasad

et al. 2024

Preprint

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Wireless sensor network (WSN) architectures involve multiple sensor nodes that cover large areas. It is difficult to deploy such nodes efficiently. However, based on clustering and collaboration, WSNs can organize efficiently and prolong system lifetime. In this paper, we discuss the design and implementation of a collaborative LoRa WAN using ultra-low-energy hardware and smart utilization of battery power. We have chosen the robust LoRa modulation technique and clustering method to design the end nodes. The sensor data from each of the end nodes are transmitted using low-power, long distance, and noise-resilient LoRa radio channels to their corresponding Cluster Heads(CHs), where it is first stored and then processed before transmitting further to the Gateways. The storing and then transmitting technique reduces the bandwidth requirement significantly. Also, the stored sensor data can be analyzed for system optimization. Immediately after transmission, the microcontroller goes to hibernation mode, whereas, the sensor system and the LoRa module are powered off until the next cycle. In this way, the power consumption by the end node is kept at its minimum and the battery life is extended to 35 years. Several challenges related to hardware design and network parameters optimization to achieve energy-efficient IoT-based LoRa WAN are presented and discussed.

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Self-optimized collaborative data communication in wireless sensor networks

Cited by 5 publications

References 8 publications

The need of software development process for wireless sensor networks with cooperative nodes

The need of software development process for wireless sensor networks with cooperative nodes

Transmission channel sensitive multi-metric routing for Wireless Sensor Networks

Design and Implementation of Collaborative Energy Efficient IoT-Based LoRa WAN

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