A comparative study of routing protocols in WSN

Aznaoui, Hanane; Raghay, Said; Aziz, Layla; Ait-Mlouk, Addi

doi:10.1109/icta.2015.7426884

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…The main goal of TGAF based on using two levels for transmitting data and it used the highest residual energy for selecting active nodes. The authors prove that this concept help in minimizing the energy consumed and automatically extending the network lifetime [18].…”

Section: Related Workmentioning

confidence: 84%

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Aznaoui¹,

Ullah²,

Raghay³

et al. 2021

IJEECS

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<span>A wireless sensor network (WSN) composed by a large number of sensor nodes that are insufficient in terms of processing power, storage and energy. The principal tasks of nodes is gathering and transmitting data collected to the base station (BS). Consequently the major essential criteria for designing a WSN are the network lifetime. In this paper an efficient GAF routing protocol for gathered data is introduced. It proposes an energy-efficient routing in WSN based on the basic version. In this system sensor nodes are distributed using Gaussian law and an active leader is elected for each virtual grid to reduce the energy dissipated using an optimized weighted sum model where maximum remaining energy and minimum distance criteria are considered. Moreover routing data is based on transmission range for enhancing the energy efficiency during data routing. The experimental results shows that the proposed EE-GAF produces better performance than the existing GAF basic and optimized-GAF routing protocol in terms of number of dead node and energy consumption. It is obviously proves that the proposed EE-GAF can improve the network lifetime</span>

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Section: Related Workmentioning

confidence: 84%

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Aznaoui¹,

Ullah²,

Raghay³

et al. 2021

IJEECS

Self Cite

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“…In our daily and professional life, we are in front of making the right decisions. MCDA [16,17] represents an important science that allows making decisions. It is exploited in different fields such as economics, mathematics, and social science.…”

Section: Multicriteria Decision Analysis (Mcda)mentioning

confidence: 99%

Efficient Routing Approach Using a Collaborative Strategy

Aziz

Aznaoui

2020

Journal of Sensors

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Wireless sensor networks (WSNs) are a huge number of sensors, which are distributed in area monitoring to collect important signals. WSNs are widely used in several applications such as home automation, environment, and healthcare monitoring. However, most of these applications face various difficulties due to sensor design. Therefore, the major challenge of designing WSNs is saving the energy consumed during communication and extending the network lifetime. Multicriteria Decision Analysis (MCDA) methods have been exploited for saving network energy. However, the majority of researches focus on the Cluster Head (CH) selection. In this paper, we aim to enhance the process of forwarder selection using an efficient combined multicriteria model. The proposed scheme improved the intercluster communication by controlling the distance separating CHs from the sink node. To minimize the cluster density, this work consists of activating only sensor nodes that detect enough strong signals. The activation phase presents a fault-tolerant technique to succeed in the communication process. Moreover, the proposed work is aimed at selecting the most efficient hops, which are responsible for routing data to the sink using the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. Simulation results proved that our new protocol maximized the residual energy by 15% and 25% and the network lifetime by 35% and 47% compared to the Distributed Clustering Protocol using Voting and Priority (DCPVP) and Low-Energy Adaptive Clustering Hierarchy (LEACH), respectively.

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“…[21][22][23] Data-centric architectures are inefficient when it comes to large areas. The node-to-node communication technology that typically involves massively deployed WSN nodes is termed as data-centric WSN architecture.…”

Section: Introductionmentioning

confidence: 99%

“…Flooding, gossiping, COUGAR, and ACQUIRE are some data-centric WSN architectures. [21][22][23] Data-centric architectures are inefficient when it comes to large areas. Hierarchical architecture solves this issue by grouping the WSN nodes into clusters and forming cluster heads, which in turn take charge of data transmission and reception from other clusters.…”

Section: Introductionmentioning

confidence: 99%

Efficient data management and control over WSNs using SDN‐enabled aerial networks

Sayeed

Kumar

Sharma

2019

Int J Communication

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The recent developments in collaborative search, acquisition, and tracking have hoisted the geographical barrier. The network between unmanned aerial vehicles (UAVs) and wireless sensor networks (WSNs) is one such collaboration, which comprises battery-powered static sensor nodes that act as sources and sinks and UAVs that act as relays. This collaborative network presents with opportunities and advantages, but at the same time, configuration of such networks is an arduous task. The WSN nodes are characterized by constant depleting power. Their network itself requires constant management and reconfiguration. These requisites can be slaked through the formation of an efficient data dissemination algorithm, which acclimates according to the network state. Considering this, a data dissemination approach is presented in this paper, which constructs a virtual topology predicated on the charge of WSN nodes utilizing software-defined networks (SDNs) through UAVs. The topology is constantly monitored and reconfigured when required. The aerial nodes are equipped with multiple-input multiple-output (MIMO) antennas in order to facilitate simultaneous communication with the ground nodes, the base station, and the SDN controller. An efficient sleep timer and backoff counter strategies are also utilized by the proposed approach. The SDN controller facilitates the topology formation and maintenance of a sleep timer and a backoff counter. The proposed model is compared with clustered hierarchical layouts and hexagonal cell layouts through the network simulations. The results suggest significant improvements in the proposed model for various metrics, such as lifetime, delay, latency, delivery ratio, and throughput in comparison with the existing solutions.High radio frequency (RF) coverage, high altitude, high throughput, heavy payload, less operating time, ease of use, and low cost are the basic requirements of UAV-CONOPS. Chemical, Biological, Radiological, and Nuclear Reconnaissance (CBRN)-CONOPS whose major purpose is the containment of hazards are also turning towards UAV networks. Cellular network-based air-to-ground links and unmanned aircraft system (UAS)-backbone systems, communication aware sensor distribution, etc are some of the promising aspects of the UAV systems. 2,3 The crucial step towards UAV networks is the development of sustainable multi-UAV environments. National regulations, routing, path planning, quality of service (QoS), integration with Global Information Grid (GIG), mobility control, coordination, and standardization are the steps required for efficient migration towards flying networks (multi-UAV). 4,5 The complexity of the multi-UAV ad hoc networks makes data dissemination also a challenging prospect. Latency, delay, antenna type, timing, etc come into play when we are talking about a network that is so fast moving and dynamic. 6 Multi-UAVs collaborate to achieve common objectives. It is evident that the collaborative UAV and the ground networks together can perform complex tasks. Some of these tasks...

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A comparative study of routing protocols in WSN

Cited by 10 publications

References 16 publications

New efficient GAF routing protocol using an optimized weighted sum model in WSN

New efficient GAF routing protocol using an optimized weighted sum model in WSN

Efficient Routing Approach Using a Collaborative Strategy

Efficient data management and control over WSNs using SDN‐enabled aerial networks

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