A rule based delay constrained energy efficient routing technique for wireless sensor networks

Selvi, M.; Velvizhy, P.; Ganapathy, Sannasi; Nehemiah, H. Khanna; Kannan, A.

doi:10.1007/s10586-017-1191-y

Cited by 41 publications

(15 citation statements)

References 19 publications

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“…Rule‐based secure routing algorithms that provide security to the WSNs have been widely studied [25, 26]. Among them, Santhosh Kumar and Palanichimy [25] have proposed a novel secured routing algorithm using rules for effective routing in WSNs.…”

Section: Literature Surveymentioning

confidence: 99%

“…Among them, Santhosh Kumar and Palanichimy [25] have proposed a novel secured routing algorithm using rules for effective routing in WSNs. Moreover, Selvi et al [26] proposed an energy efficient and delay tolerant routing protocol using rules for efficient routing in WSNs. The secured routing models available in the literature provide techniques for upgrading the security of communication in WSNs.…”

Section: Literature Surveymentioning

confidence: 99%

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Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

et al. 2020

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

et al. 2020

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“…By reducing the energy consumption in relaying collected data, it is possible to prolong the aliveness of network. Some of the options for energy efficiency are presented in [25][26][27][28][29]. These approaches are based on random CH selection, residual energy, and ratio of residual to network energy or sometimes with average energy of the nodes.…”

Section: Related Workmentioning

confidence: 99%

Multi-Objective Clustering Protocol for Heterogeneous Wireless Sensor Network

purkar¹,

Deshpande²

2021

Preprint

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As we know the capabilities of communication system seems to be extended to greater level with the integration of wireless sensor network (WSN).Seamless control of real time application is been possible. But, an energy constraint of sensor node limits the lifecycle of the activity. Thus, it is necessary to utilize the available energy efficiently to prolong the lifetime of sensory system. Secondly by adding Heterogeneity in WSN and by controlling the communication activity it is possible to extend the lifetime of the network multifold. Thus, it is possible to improve energy efficiency of WSN without constraints of deployments, responsibility and heterogeneity level. So, design perceptive based on multilevel clustering scheme for varied objectives is the better choice for proposed scheme. As clustering scheme reduces internal traffic, efforts of communication and improve the load balancing over the network. Here, we propose Multi-objective (MO)clustering protocol for Heterogeneous WSN to enhance the energy efficiency of deployed network. We hereby found that proposed scheme work better for varied deployment condition and for various performance parameters. Simulation results of proposed design outperform the well-known published protocols by more than 1.97 times.

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“…It was applicable for any kind of application, not only improve the lifetime. 23 Selvi et al 24 have been proposed a rule-based delay controlled routing approach for WSN. Based on the delay constraint, the reliable routing strategy was presented here, which reduced energy consumption.…”

Section: Review: Recent Related Workmentioning

confidence: 99%

A fuzzy multicriteria decision‐making‐based CH selection and hybrid routing protocol for WSN

Sreedharan

Pete

2020

Int J Communication

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Summary One of the famous approaches to decision making is named as multicriteria decision making (MCDM). In order to solve the MCDM issues, a better way is provided by the fuzzy logic. Expendability, cost, maintenance, availability of software, and performance characteristics are such problems considered by the decision. The precise estimation of the pertinent data is one of the vital phases in DM systems. This paper presents a fuzzy MCDM‐based cluster head (CH) selection and hybrid routing protocol to solve the most common issues. In this research article, the generalized intuitionistic fuzzy soft set (GIFSS) approach is utilized to select the optimal CH, and hybrid shark smell optimization (SSO), and a genetic algorithm (GA) is introduced for the effective routing. Initially, the wireless sensor network (WSN) system and energy models are designed, and then the nodes are grouped into several clusters. Next, based on the GIFSS, the CH nodes are selected, and finally, an effective routing is placed based on the hybrid optimizations. The implementation is performed on the NS2 platform, and the performances are evaluated by packet delivery ratio (PDR), delay, packet loss ratio (PLR), network lifetime, bit error rate (BER), energy consumption, throughput, and jitter. The existing approaches named energy centers examining using particle swarm optimization (EC‐PSO), variable dimension‐based PSO (VD‐PSO), energy‐efficient PSO‐based CH selection (PSO‐ECHS), low‐energy adaptive clustering hierarchy‐sugeno fuzzy (LEACH‐SF), SSO, and GA are compared with the proposed strategy. According to the implemented outcomes, it displays the proposed strategy and gives improved outcomes than the others.

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A rule based delay constrained energy efficient routing technique for wireless sensor networks

Cited by 41 publications

References 19 publications

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks

Multi-Objective Clustering Protocol for Heterogeneous Wireless Sensor Network

A fuzzy multicriteria decision‐making‐based CH selection and hybrid routing protocol for WSN

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