The Comparison of Energy Consumption of Different Topologies in Multi-hop Wireless Sensor Networks

Ari, Davut; Çıbuk, Musa; Aggun, Fikri

doi:10.1109/idap.2018.8620903

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…A flat topology is when all nodes play equal roles in network formation while in hierarchical network nodes are different in their roles. Different topologies lay on the exact radio propagation model of WSN most likely consumes different amounts of energy [40]. Moreover, a previous study [41] verifies that performance in terms of average energy consumption, delay, lifetime, and coverage is topology dependent.…”

Section: Theoretical Analysis For Tree Topologymentioning

confidence: 79%

Untitled

2022

IJWMN

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A tree topology is a commonly employed topology for wireless sensor networks (WSN) to connect sensors to one or more remote gateways. In many-to-one traffic, routing imposes a heavy burden on downstream nodes, as the same routes are repeatedly used for packet forwarding from one or more sensor chains. The challenge is traffic paths that ensure balanced energy consumption at sink-hole to protect sensors from fast death. This paper proposes an energy consumption pattern-aware greedy routing protocol that proactively protects many-to-one topology from the sink-hole formation. The proposed protocol, Energy Balance-Based Energy Hole Alleviation in Tree Topology (EBEHA-T), precludes energy hole formation rather than retrospectively responding to a hole detection. Updated status of variations in energy consumption patterns at the sink-hole along with construction feature of joint nodes in the tree topology aids EBEHA-T in routing decision. Performance evaluation of EBEHA-T against benchmark method RaSMaLai shows increased energy-saving across the entire network and a marked improvement in energy consumption balance in energy hole zones. This precludes energy hole formation and the consequent network partitioning, leading to improved network lifetime beyond that of the RasMaLai.

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Section: Theoretical Analysis For Tree Topologymentioning

confidence: 79%

Untitled

2022

IJWMN

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“…A critical aspect in these sensors is the maintenance, and many sensors’ wireless systems are powered with batteries or self-powering technology. Ultra-low-power sensors are a desirable option because they can reduce the need of regular battery changes and support a higher technological sustainability in environment [ 88 ]. Finally, technology of wireless network sensors has the advantage of easy upgrades of new technological characteristics; consequently, the technological system can be more efficient from a technological and economic point of view [ 51 , 89 ].…”

Section: Resultsmentioning

confidence: 99%

Scientific Developments and New Technological Trajectories in Sensor Research

Coccia

Roshani

Mosleh

2021

Sensors

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Scientific developments and new technological trajectories in sensors play an important role in understanding technological and social change. The goal of this study is to develop a scientometric analysis (using scientific documents and patents) to explain the evolution of sensor research and new sensor technologies that are critical to science and society. Results suggest that new directions in sensor research are driving technological trajectories of wireless sensor networks, biosensors and wearable sensors. These findings can help scholars to clarify new paths of technological change in sensors and policymakers to allocate research funds towards research fields and sensor technologies that have a high potential of growth for generating a positive societal impact.

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“…The authors in [91][92][93] concluded that the energy consumption depends on the WSN network topology. This energy consumption is due to network joining, route discovery, route update, and network self-healing.…”

Section: Network Topologies For Wsnmentioning

confidence: 99%

Energy-Aware Wireless Sensor Networks for Smart Buildings: A Review

Naji

Abid

Krami

et al. 2021

JSAN

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The design of Wireless Sensor Networks (WSN) requires the fulfillment of several design requirements. The most important one is optimizing the battery’s lifetime, which is tightly coupled to the sensor lifetime. End-users usually avoid replacing sensors’ batteries, especially in massive deployment scenarios like smart agriculture and smart buildings. To optimize battery lifetime, wireless sensor designers need to delineate and optimize active components at different levels of the sensor’s layered architecture, mainly, (1) the number of data sets being generated and processed at the application layer, (2) the size and the architecture of the operating systems (OS), (3) the networking layers’ protocols, and (4) the architecture of electronic components and duty cycling techniques. This paper reviews the different relevant technologies and investigates how they optimize energy consumption at each layer of the sensor’s architecture, e.g., hardware, operating system, application, and networking layer. This paper aims to make the researcher aware of the various optimization opportunities when designing WSN nodes. To our knowledge, there is no other work in the literature that reviews energy optimization of WSN in the context of Smart Energy-Efficient Buildings (SEEB) and from the formerly four listed perspectives to help in the design and implementation of optimal WSN for SEEB.

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The Comparison of Energy Consumption of Different Topologies in Multi-hop Wireless Sensor Networks

Cited by 6 publications

References 12 publications

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Scientific Developments and New Technological Trajectories in Sensor Research

Energy-Aware Wireless Sensor Networks for Smart Buildings: A Review

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