A Survey of Advanced LEACH-based Protocols

Fanian, Fakhrosadat; Rafsanjani, Marjan Kuchaki; Bardsiri, Vahid Khatibi

doi:10.14257/ijeic.2016.7.1.01

Cited by 11 publications

(7 citation statements)

References 23 publications

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“…In this survey consideration of the classification of methods into three general sections, as well as the quality of services modeling and network flow method is done [41].Clustering algorithm for WSNs evaluation paper was presented by Younis and Abbasi in the year 2007, they presented one of the first evolution paper and survey on this topic. For the Clustering protocol,clustering attributes and convergence time are the two basic classifications presented in their survey [42]. In the clustering attributes terms division of methods are dome in sections of three that includes the properties of clustering, properties of cluster and process of clustering.…”

Section: Figure 2 Cluster Based Routing Protocol Classifications Basementioning

confidence: 99%

Cluster Based Routing Protocols in WSN Sensor

Ramani¹,

Badholia²

2021

ITII

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Over the past few years we can observe the WSNs or Wireless Sensor Network applications in various fields increasing immensely. The energy efficiency, network lifetime and clustering process prime goal is the working network's optimization is the focus of many of the routing algorithm. Keeping in mind the network homogeneity, for network performance reinforcement we suggest instead of single path to use multiple paths. For WSNs, Reinforcement Intelligence Routing Protocol (RIRP)[1]. In the multihop wireless sensor networks an efficient and effective method for security improvements local monitoring has worked well [2]. But taking in consideration the power consumption in the current practice of local monitoring is costly. For ensuring long-lived operations in the sensor network reinforcement intelligent routing protocol is critical [3]. For ensuring both the aspects improvement in security and long-lived operations, the development of mechanism that is effective and incorporated with the Reinforcement protocol is an open problem. With the help of local monitoring to solve this issue, section of the traffic going in and out of its neighbors is supervised by each node to keep a check on any suspicious behavior like unlikely long delays in packet forwarding [4]. To integrate the existing reinforcement protocol of the network and without any niggardly in the consumption of energy in the local monitoring with the help of a protocol [5]. In comparison to other protocols in this protocol the region of instability starts later. At a constant rate the nodes of the RIRP or Reinforcement Intelligent Routing Protocol dies. Few problems such as cluster head selection process, network lifetime and network stability are evaluated and worked in the technique proposed here [6]. To reduce the overload consumption as much as possible the nodes switches in between the active and sleep mode.

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Section: Figure 2 Cluster Based Routing Protocol Classifications Basementioning

confidence: 99%

Cluster Based Routing Protocols in WSN Sensor

Ramani¹,

Badholia²

2021

ITII

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“…Comparisons were made with respect to clustering properties and processes and CH possibilities. At last, these factors were classified with respect to highlights, such as breakdown retrieval capabilities, multilevels, and configurations [36].…”

Section: Clustering-based Routing Protocolsmentioning

confidence: 99%

“…The remainder of the goals are considered optional and are set to help accomplish the principal targets. Optional destinations are of less significance [36].…”

Section: Objectivementioning

confidence: 99%

Optimization of Routing-Based Clustering Approaches in Wireless Sensor Network: Review and Open Research Issues

et al. 2020

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In today’s sensor network research, numerous technologies are used for the enhancement of earlier studies that focused on cost-effectiveness in addition to time-saving and novel approaches. This survey presents complete details about those earlier models and their research gaps. In general, clustering is focused on managing the energy factors in wireless sensor networks (WSNs). In this study, we primarily concentrated on multihop routing in a clustering environment. Our study was classified according to cluster-related parameters and properties and is subdivided into three approach categories: (1) parameter-based, (2) optimization-based, and (3) methodology-based. In the entire category, several techniques were identified, and the concept, parameters, advantages, and disadvantages are elaborated. Based on this attempt, we provide useful information to the audience to be used while they investigate their research ideas and to develop a novel model in order to overcome the drawbacks that are present in the WSN-based clustering models.

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“…On the other hand, cluster-based architectures have been proven to reduce energy consumption by grouping neighbor nodes into a common cluster [3], [2], [10], and [16]. In such schemes, a node acts as Cluster Head (CH) and the rest of the nodes in the cluster become Cluster Members (CMs).…”

Section: Introductionmentioning

confidence: 99%