A distributed clustering scheme with self nomination: proposal and application to critical monitoring

Chiti, Francesco; Fantacci, R.; Mastandrea, Riccardo; Rigazzi, Giovanni; Sarmiento, Álvaro Suárez; López, Elsa María Macías

doi:10.1007/s11276-014-0785-z

Cited by 7 publications

(10 citation statements)

References 24 publications

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“…Once the ZH criteria are set and zones are formed, ZH is selected for each individual zone according to (6). Base station will have the collection list that will have ZH EV of all nodes against each zone in the network.…”

Section: Zeerpmentioning

confidence: 99%

“…In many scenarios, as nodes are deployed in remote and dangerous area, replacement of their batteries becomes impossible. So they must work without replacing their batteries for many years [6]. Thus power management has become one of the fundamental issues of WSNs.…”

mentioning

confidence: 99%

“…Cluster based schemes minimize energy consumption and simplify network management by treating related nodes in groups. Cluster-based approaches increase scalability, robustness, provide load balancing and data aggregation [1,6,9]. These algorithms are utilized for clustering in efficient manner where the entire terrain is segregated into virtual grids, and are widely used because of its simplicity, scalability, and uniformity in energy consumption across the network [10].…”

mentioning

confidence: 99%

“…The main operational sustainability concern in WSN is its energy resource constraint. In recent years, numerous routing protocols have been proposed for WSNs based on the network organization and the routing protocol operations [6]. Some of these focused on minimizing the communication distance to reduce the energy consumption and a handful of them focused on fair energy distribution to avoid the hot spot problems.…”

mentioning

confidence: 99%

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Zone-based Energy Efficient Routing Protocols for Wireless Sensor Networks

Sharma

Sohi²,

Mittal

2019

SCPE

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This paper proposes a novel zone or grid-based network deployment framework for energy efficient selection and reselection process of Zone-Head (ZH) in the WSNs. The proposed zone head reselection process ensures energy efficiency, load balancing, and stability which further prolongs the network lifetime. Instead of carrying out periodic reselection of Zone-Head (ZH) that leads to extra energy consumption and network overhead, the protocol dynamically initiates the process of reselection based on residual energy level of ZH. In the proposed approach the process is segregated into four phases; deployment phase, the zone formation phase, zone head selection phase, data transmission phase and reselection phase. We implemented the proposed algorithm in MATLAB and its result outcomes reveal that the proposed method outperforms the competitive algorithms for parameters such as load balancing, total energy consumption and network lifetime.1. Introduction. In Wireless Sensor Networks (WSNs), routing protocol plays key role in increasing network energy efficiency and is a source of inspiration for those researchers who attempts to save the energy of wireless sensor node and to enhance the lifetime of the network in parallel [1]. The operation which consumes most of the energy in WSNs is the activity of data packet routing. The characteristics of the WSNs are unique in contrast to traditional networks. These unique characteristics are often taken into account for addressing the issues and challenges related to network coverage, node distribution, node administration, network deployment, energy efficiency, security [2-4] and so forth. In recent years, WSNs have been widely investigated [3][4][5]. WSN typically consists of large number of low cost unattended multifunctioning sensing nodes that are typically deployed in large quantities and in a high density manner with limited energy resource [1]. These sensing nodes are linked by wireless medium using radio, infrared, or optical frequency band. These networks have various applications like flood and fire detection in remote areas, traffic surveillance, air traffic control, and so forth. Sensors jointly gather ambient condition information such as temperature, pressure, and humidity from their surrounding environment and forward it towards static data sink. In many scenarios, as nodes are deployed in remote and dangerous area, replacement of their batteries becomes impossible. So they must work without replacing their batteries for many years [6]. Thus power management has become one of the fundamental issues of WSNs. The factors which causes energy consumption in WSNs and deteriorates the network lifetime are collision, overhead, overhearing, idle listening, complexity and traffic fluctuations. These factors deplete the energy resources of WSNs. In WSNs, single-hop routing consumes more energy and leads to unbalancing the energy distribution to the nodes which are far from base station (BS). On the other hand, limited radio range of the node and other environmental factors ...

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Section: Zeerpmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Zone-based Energy Efficient Routing Protocols for Wireless Sensor Networks

Sharma

Sohi²,

Mittal

2019

SCPE

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“…As for random self-proclamation scheme, it allows some nodes to act as temporary CHs which will be electing later on the permanent ones. SNDC protocol by Chiti et al [25] is a shining example of that scheme. However, these number of candidates reduction techniques require strict nodes synchronization and long waiting times which increase self-organization latency.…”

Section: B Cluster-based Connectictivity Control In Wsnsmentioning

confidence: 99%

Efficient Cluster-Based Self-Organization Scheme for Connectivity Control in Wireless Sensor Networks

Diédié¹,

Babri²,

Aka³

2016

JCM

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Despite progress made in recent years, cluster formation delay, load balancing, energy holes remain challenging for cluster-based topology control protocols. When, for energy efficiency purpose, one tries to address these problems simultaneously, one is confronted with latency, message overhead, and topological defects such as isolated Cluster Heads (CH), pairs of adjacent CHs etc. These unexpected outcomes are detrimental to both network capacity and lifetime. In this paper, we propose a fast cluster-based selforganization protocol that reduces time and energy wastes during cluster formation, minimizes the scope and frequency of cluster maintenance process, and mitigates energy holes in the sink's two-hop neighborhood. Simulation results show that our contribution is able to quickly construct a good quality communication topology while enhancing network lifetime.

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