A novel energy efficient vice Cluster Head routing protocol in Wireless Sensor Networks

Hassan, Tawfik Abdel Hakam; Selim, Gamal Eldin I.; Sadek, Rowayda A.

doi:10.1109/intelcis.2015.7397240

Cited by 8 publications

(2 citation statements)

References 11 publications

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“…One of the optimal algorithms is LEACH‐C, 101 which is more power‐efficiency in selecting a number of cluster heads, due to calculating the power level for each node and the square sum of the distances between each node 122 . Moreover, provides equally power consumption load between the nodes 123 .…”

Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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SummaryService discovery (SD) is the cornerstone of wireless and mobile systems. The discovery of effective service is the key to achieve a higher level of ubiquity, which ensures the availability of services to users and applications significantly, and the high use of services. The research in this field is limited, with a few SD protocols available for specific purposes specified in the 6LoWPAN region. This paper discusses the various issues and challenges facing the design and selection of the appropriate service discovery and cluster‐based mechanism. Moreover, attention has been drawn to the cross‐layer solution by discussing different clustering techniques used to solve the redundancy problems. Furthermore, the service discovery protocols and cluster‐based routing protocols are critically investigated considering the redundancy problem, methods, mechanisms, and architectures by categorizing them into different categories, comparing them with fundamental parameters in the WSNs and MANETs environments. In addition, a modern form is proposed to show the life cycle of the service discovery process, and a new figure has been designed to clarify to the researchers various of the open issues related to the service discovery and cluster‐based routing protocols, corresponding objectives and the techniques of solving problems. Through the discussion of the scientific papers under survey, important results and valuable recommendations were reached. The survey is concluded with a summary, open research issues, outlook, and directions for future research on the topic.

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Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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“…Reference [11] uses VCH in LEACH-C [12] protocol to improve its performance. VCH is selected by the CH and replaces the CH when its energy level decreases to a minimum value.…”

Section: Energy Efficient Routing Protocol To Extendmentioning

confidence: 99%

Energy Efficient Routing Protocol to Extend WSN Lifetime

Ercan

Asim

2018

Balkan Journal of Electrical and Computer Engineering

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In Wireless Sensor Networks (WSNs), the sensor nodes have limited energy resources with their mostly irreplaceable batteries. This makes to encourage design protocols that are energy efficient to provide a longer network lifetime. This paper proposes a method to divide the sensor network into equalsize grids namely regular geometric shaped clusters, selecting Cluster Head (CH) and Vice Cluster Head (VCH) for each grid by using Fuzzy Logic System (FLS). Since the CH being the central node and performing additional tasks in the cluster often results in early energy drain, the VCHs are introduced here as additional internal resources to replace CHs in the network. Unlike other typical hierarchical routing protocols, the CHs are not changed per each round; rather they are replaced on-demand in order to reduce energy consumption. We analyze and compare our proposal in the MATLAB with the well-known cluster-based protocol, LEACH and its modified version MODLEACH. The results show a significant improvement in network throughput, energy consumption and network lifetime.

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