Reputation Analysis of Sensors’ Trust Within Tabu Search

Habib, Sami J.; Marimuthu, Paulvanna Nayaki

doi:10.1007/978-3-319-56538-5_35

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…In the TABU-MSEEC protocol, the TABU technique is employed in order to make the network more energy-saving. A cluster in the network is chosen on the basis of its energy parameter and these clusters gather details from their members and send it to the sink [17,18]. For the transmission phase, the TABU technique is used, which makes the network more methodical and reliable.…”

Section: Data Transmission Proceduresmentioning

confidence: 99%

Energy Efficient TABU Optimization Routing Protocol for WSN

Shani

Bala²,

Kumar

et al. 2020

ing. Solidar

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Introduction: This article is the result of the research “Energy efficient routing protocols in wireless sensor network: Examine the impact of M-SEEC routing protocols on the lifetime of WSN with an energy efficient TABU optimization routing protocol”developed in the IKG, Punjab Technical University, India in 2019.Problem: The task of finding and maintaining routes in WSNs is non-trivialsince energy restrictions and sudden changes in node status cause frequent and unpredictable changes.Objective: The objective of this paper is to propose an energy efficient heterogeneous protocolwith the help of a hybrid meta-heuristic technique.Methodology: In the hybrid meta-heuristic technique, the shortest route has been selected and the data forwarded to the sink in a minimal time span,savingenergy and making the network more stable. To evaluate the technique, a new hybrid technique has been created where the data transmission is implemented from the beginning under MATLAB 2013a.Results: The proposed technique is better than the existing ones since the remaining energy in the network is increased by 62% compared to normal nodes in MSEEC, 65% compared to advanced nodes in MSEEC and 70% compared to super nodes in MSEEC. The network lifetime was also enhanced by 70.8% compared to MSEEC.Conclusion: The proposed protocol was found to be superior based on the average residual energy.This paper proposes an efficient routing mechanism towards the energy efficient network.Originality: Through this research, a novel version of MSEEC protocol is carried out using the TABU search mechanism to generate the functions of two neighbourhoods to detect the optimum path with the aim of maximizing the network lifetime in an area of 200×200m2.Limitations: The lack of other routing techniques falls under swarm intelligence.

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Section: Data Transmission Proceduresmentioning

confidence: 99%

Energy Efficient TABU Optimization Routing Protocol for WSN

Shani

Bala²,

Kumar

et al. 2020

ing. Solidar

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“…For the implemented hybrid agent, the TS output is not written in the main memory, as the TS pure agent, but it is stored in a transition memory, which has an interface with the module that implements the GA. After the stop criteria for the TS have been met, the GA module uses the solutions in this memory as initial population and performs iterations until the stop criteria have been met. At last, the best solution produced by the GA is written to the main memory [7][8][9][10].…”

Section: The Tabu-ga Mseec Protocolmentioning

confidence: 99%

An Energy-Efficient routing protocol based on TABU-Genetic Strategy in Wireless Sensor Network

Varsha¹,

Bala²,

Kumar³

2019

IJANA

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In Swarm Intelligence, various techniques are being planned as far as ACO, PSO, Fish Swarm, Bats Swarm, Bacterial Foraging, TABU, GA search and so forth. TS and GA is a single algorithm that firstly creates a set of random valid solutions, and for several iterations it optimizes them using a TS-based method. Afterwards, it takes this set of optimized solutions as the initial population for the GA, and iterates until the adopted stop criteria have been met. The objective of this research paper is to implement TABU-GA search to make the protocol more efficient and effective. This paper proposed MSEEC (multilevel stable and energy efficient clustering protocol) utilizing TABU-GA mechanism in the territory of 200m×200m.The recreation is done under the MATLAB 2013 a environment and observed the performance of TABU-GA MSEEC against MSEEC protocol on 4% increase in the case of first node dead (FND) and 28% increase in the case of last node dead (LND).

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“…In our prior works on self-awareness and self-redesign (Habib and Marimuthu, 2016, 2017, 2019Boudriga et al, 2019) the sensing nodes were pre-assumed to possess a built-in selfawareness notion. In this work, we have derived the notion of self-awareness through the developed fuzzy framework, because it is easy to implement as a simple function or as a lookup table within the resource-constrained sensing nodes.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Framework for Self-Aware Wireless Sensor Networks

Habib¹,

Marimuthu²

2022

JER is an international, peer-reviewed journal that publishes f

Self Cite

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We have developed a fuzzy logic framework to simulate self-awareness in wireless sensor networks (WSNs) that envisages data transmission losses due to abnormalities in the operating environment. Fuzzy logic is selected to model the awareness, because it requires less data to encode, and occupies less memory, making it suitable for sensor nodes with limited resources. We view WSN as a multi-layered infrastructure, where a central-server in the top-layer manages the gateways in the intermediate-layer, and the gateways are aggregating the raw sensed data from the bottom layer’s sensors. The self-awareness is simulated using Mamdani Fuzzy inference system (FIS) that utilizes a custom-defined membership functions of the selected parameters, such as temperature, humidity, wind speed, and battery residual-level to guide WSN through its data transmissions. The input and output parameters are defined with three linguistic variables (low, medium and high) and a predetermined set of rules is applied to the selected FIS to determine the impact level. The impact is mapped into packet error rate and the gateway then decides whether to carry out the data transmissions while being aware of the selected uncertainties and their impact. The experimental results on a multivariate dataset integrating real-time meteorological data with randomly generated battery voltage revealed that the proposed FIS framework demonstrated 38% energy savings by non-executing unworthy communications against normal transmissions.

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Reputation Analysis of Sensors’ Trust Within Tabu Search

Cited by 6 publications

References 13 publications

Energy Efficient TABU Optimization Routing Protocol for WSN

Energy Efficient TABU Optimization Routing Protocol for WSN

An Energy-Efficient routing protocol based on TABU-Genetic Strategy in Wireless Sensor Network

A Fuzzy Framework for Self-Aware Wireless Sensor Networks

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