Distributed energy efficient adaptive clustering protocol with data gathering for large scale wireless sensor networks

Gherbi, Chirihane; Aliouat, Zibouda; Benmohammed, Mohammed

doi:10.1109/isps.2015.7244966

Cited by 22 publications

(17 citation statements)

References 9 publications

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“…In [12], the context of mobile sink is proposed by author for solving the energy-hole problem. In [13], a novel hierarchical approach termed as distributed energy efficient adaptive clustering protocol with data gathering (DEACP) is presented. The distance is utilized that is among the cluster-heads in this method for achieving a WSN with well distribution of suitable clusters of particular sizes.…”

Section: Related Workmentioning

confidence: 99%

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Energy efficient routing in wireless sensor network based on mobile sink guided by stochastic hill climbing

Raghavendra¹,

Mahadevaswamy²

2020

IJECE

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In Wireless Sensor Networks (WSNs), the reduction of energy consumption in the batteries of a sensor node is an important task. Sensor nodes of WSNs perform three significant functions such as data sensing, data transmitting and data relaying. Routing technique is one of the methods to enhance the sensor nodes battery lifetime. Energy optimization is done by using one of the heuristic routing methods for sensing and transmitting the data. To enhance the energy optimization mainly concentrated on data relaying. In this work stochastic hill climbing is adapted. The proposed solution for data relaying utilizes geographical routing and mobile sink technique. The sink collects the data from cluster heads and movement of the sink is routed by stochastic hill climbing. Network simulator 2 is used for experimentation purpose. This work also compares with the existing routing protocols like Energy-efficient Low Duty Cycle (ELDC), Threshold sensitive Energy Efficient sensor Network (TEEN) and Adaptive clustering protocol. The proposed work shows promising results with respect to lifetime, average energy of nodes and packet delivery ratio.

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Section: Related Workmentioning

confidence: 99%

“…1 (13) DT α 1 (14) DR α 1 (15) By combining (13), (14) and (15), the network lifetime (T) can be mentioned as…”

Section: Ds αmentioning

confidence: 99%

Energy efficient routing in wireless sensor network based on mobile sink guided by stochastic hill climbing

Raghavendra¹,

Mahadevaswamy²

2020

IJECE

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“…Furthermore, CH selection is a very complex process as various factors that must be considered to select the best node in the cluster 103 . However, it is a one‐hop cluster, so it a complexity of O(n) and needs synchronized clocks 104 …”

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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“…Chirihane Gherbi et al [24] came forward with a proposal of a Distributed Energy Efficient Adaptive Clustering Protocol abbreviated as DECAP. Assuming that DECAP is well distributed and the energy restricted sensor network benefits have been attained.…”

Section: Related Workmentioning

confidence: 99%

Efficient Data Collection using Mobile Sink Scheme in IoT

Wala¹,

Chand²,

Sharma³

2019

IJITEE

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Wireless sensor networks (WSNs) have become increasingly important in the informative development of communication technology. The growth of Internet of Things (IoT) has increased the use of WSNs in association with large scale industrial applications. The integration of WSNs with IoT is the pillar for the creation of an inescapable smart environment. A huge volume of data is being generated every day by the deployment of WSNs in smart infrastructure. The collaboration is applicable to environmental surveillance, health surveillance, transportation surveillance and many more other fields. A huge quantity of data which is obtained in various formats from varied applications is called big data. The Energy efficient big data collection requires new techniques to gather sensor-based data which is widely and densely distributed in WSNs and spread over wider geographical areas. In view of the limited range of communication and low powered sensor nodes, data gathering in WSN is a tedious task. The energy hole is another considerable issue that requires attention for efficient handling in WSN. The concept of mobile sink has been widely accepted and exploited, since it is able to effectively alleviate the energy hole problem. Scheduling a mobile sink with energy efficiency is still a challenge in WSNs time constraint implementation due to the slow speed of the mobile sink. The paper addresses the above issues and the proposal contains four-phase data collection model; the first phase is the identification of network subgroups, which are formed due to a restricted range of communication in sensor nodes in a wide network, second is clustering which is addressed on each identified subgroup for reducing energy consumption, third is efficient route planning and fourth is based on data collection. The two time-sensitive route planning schemes are presented to build a set of trajectories which satisfy the deadline constraint and minimize the overall delay. We have evaluated the performance of our schemes through simulation and compared them with the generic enhanced expectation-maximization (EEM) mobility based scenario of data collection. Simulation results reveal that our proposed schemes give much better results as compared to the generic EEM mobility approach in terms of selected performance metrics such as energy consumption, delay, network lifetime and packet delivery ratio.

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Distributed energy efficient adaptive clustering protocol with data gathering for large scale wireless sensor networks

Cited by 22 publications

References 9 publications

Energy efficient routing in wireless sensor network based on mobile sink guided by stochastic hill climbing

Energy efficient routing in wireless sensor network based on mobile sink guided by stochastic hill climbing

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

Efficient Data Collection using Mobile Sink Scheme in IoT

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