Power and Buffer Overflow Optimization in Wireless Sensor Nodes

Joshi, Gauri; Dwivedi, Sudhanshu Kumar; Goel, Anshul; Mulherkar, Jaideep; Ranjan, Prabhat

doi:10.1007/978-3-642-17881-8_43

Cited by 3 publications

(1 citation statement)

References 1 publication

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“…From the other side, sensor nodes are equipped typically with very small buffers, so during a “catastrophic” period, when large data amount arrives at the sensor node, buffer overflows and packet losses occur. Hence [ 3 ], reducing the power consumption during the “normal” period and reducing buffer overflow durations during the “catastrophic” period are equally important. In single-hop wireless sensor networks the sensor measurement is sent directly to the base station (sink node).…”

Section: Introductionmentioning

confidence: 99%

Probabilistic Analysis of a Buffer Overflow Duration in Data Transmission in Wireless Sensor Networks

Kempa¹

2020

Sensors

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One of the most important problems of data transmission in packet networks, in particular in wireless sensor networks, are periodic overflows of buffers accumulating packets directed to a given node. In the case of a buffer overflow, all new incoming packets are lost until the overflow condition terminates. From the point of view of network optimization, it is very important to know the probabilistic nature of this phenomenon, including the probability distribution of the duration of the buffer overflow period. In this article, a mathematical model of the node of a wireless sensor network with discrete time parameter is proposed. The model is governed by a finite-buffer discrete-time queueing system with geometrically distributed interarrival times and general distribution of processing times. A system of equations for the tail cumulative distribution function of the first buffer overflow period duration conditioned by the initial state of the accumulating buffer is derived. The solution of the corresponding system written for probability generating functions is found using the analytical approach based on the idea of embedded Markov chain and linear algebra. Corresponding result for next buffer overflow periods is obtained as well. Numerical study illustrating theoretical results is attached.

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Section: Introductionmentioning

confidence: 99%

Probabilistic Analysis of a Buffer Overflow Duration in Data Transmission in Wireless Sensor Networks

Kempa¹

2020

Sensors

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Optimized data gathering in a heterogeneous Internet of Things network

Hamidouche

Aliouat

Ari

et al. 2021

Int J Communication

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Recent research introduces data gathering using mobile data collectors to conserve energy and elevate the hotspot problem. However, many of them suffer from buffer overflow due to the limited memory capacity of objects, even more, when dealing with heterogeneous Internet of Things (IoT) devices. Emerging bio-inspiration technologies provide a novel direction for data collection and make it more intelligent and available. In this paper, we present an intelligent data gathering schema by taking into consideration buffer overflow called Center Gravity Mobile data collector based on Salp Swarm Algorithm (CGMSSA).To conduct data collection to improve the network performance, we adopt a hybridized distributed bio-inspired technique to elect chefs and salp swarm intelligence to control data collector movement. First, we select chefs using grey wolf optimization. Then, several groups are formed. Then, a mobile data collector is adopted to access chefs, following the buffer overflow value and gather information. Considerable experiments are conducted to demonstrate that our solution can efficiently enhance the lifetime of the network and increase data throughput.

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Energy management for event capture in rechargeable sensor network with limited capacitor size

Zhu

Cheng

2013

Peer-to-Peer Netw. Appl.

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Power and Buffer Overflow Optimization in Wireless Sensor Nodes

Cited by 3 publications

References 1 publication

Probabilistic Analysis of a Buffer Overflow Duration in Data Transmission in Wireless Sensor Networks

Probabilistic Analysis of a Buffer Overflow Duration in Data Transmission in Wireless Sensor Networks

Optimized data gathering in a heterogeneous Internet of Things network

Energy management for event capture in rechargeable sensor network with limited capacitor size

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