Energy management in sensor networks

Stankovic, John A.; He, Tian

doi:10.1098/rsta.2011.0195

Cited by 20 publications

(7 citation statements)

References 48 publications

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“…The Shimmer [65] is a super capacitor based sensor network platform used for structural health monitoring. Similarly, VigilNet [66,67] is an example of an integrated energy management system for energy harvesting based sensor network in large scale deployment of a military surveillance system.…”

Section: Energy Management For Harvested Energymentioning

confidence: 99%

Energy management in Wireless Sensor Networks: A survey

Khan¹,

Qureshi²,

Iqbal

2015

Computers & Electrical Engineering

203

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International audienceEnergy management in Wireless Sensor Networks (WSNs) is of paramount importance for the remotely deployed energy stringent sensor nodes. These nodes are typically powered by attached batteries. Several battery-driven energy conservation schemes are proposed to ensure energy efficient network operation. The constraints associated to the limited battery capacity shifted the research trend towards finding alternate sources by harvesting ambient energy. This survey presents a high level taxonomy of energy management in WSNs. We analyze different battery-driven energy consumption based schemes and energy harvesting based energy provisioning schemes. We also highlight the recent breakthrough of wireless energy transference to a sensor node as an alternative to typical batteries. We recommend taking into account recent energy provisioning advancements in parallel with the traditional energy conservation approaches for a sensor network while designing energy efficient schemes

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Section: Energy Management For Harvested Energymentioning

confidence: 99%

Energy management in Wireless Sensor Networks: A survey

Khan¹,

Qureshi²,

Iqbal

2015

Computers & Electrical Engineering

203

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“…For minor work loads contention-based protocols lead to higher channel utilization and are therefore in this case the means of choice. [19] states CSMA as the predominant class of Medium Access Control protocols. Representatives of these type are for example: B-MAC (Berkeley MAC): B-MAC is a very common MAC protocol as it is included in the TinyOS operating system.…”

Section: Contention-based Protocolsmentioning

confidence: 99%

Wireless Sensor Networks Communication: Energy Efficient Paradigm

Roopashree¹

2014

IJRET

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As the number of application in wireless sensor networks are increasing because of ongoing miniaturization of electro-mechanical parts, its subsidiary elements and drastic decrease in the cost. The communication among sensor nodes consumes more energy than the actual computation of information. The consumption not only takes place in transmission state, but also relatively high in idle state. The focus of this paper is to identify the main source of energy dissipation, as well as counter measure to ensure prolonged network lifetime. In addition to these, different types of protocols for routing, medium access control and transport protocols are presented and clarified by the means of examples.

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“…Routing protocols in WSNs, as reviewed in a survey [17], are categorized into 3 classes: flat-routing, hierarchical routing and location-based routing. Among the flat-routing algorithms, Sensor Protocols for Information via Negotiation (SPIN) [18] and Directed Diffusion (DC) [19] are two of the most widely applied for self-organizing WSNs and data centric WSNs. For hierarchical WSNs, in which sensors are classified into different clusters according to their conditions (in most cases, battery depletion status), Low Energy Adaptive Clustering Hierarchy (LEACH) [20] and Small minimum energy communication network (MECN) [21] are popular protocols in non-GPS and GPS-assisted WSNs.…”

Section: Figure 1 Free Space Urban and Sensor Propagation Diagramsmentioning

confidence: 99%

Urban Vehicular Network Performance Optimization

Yu¹,

Leeson²,

Hines³

2013

AISS

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In urban vehicular ad hoc network (VANET) design, it is always a problem to guarantee the quality of peer node communication for moving nodes. The reason is two-fold, namely the dynamic nature of an ad hoc network, and the complexity of an urban environment. Firstly, communication links between neighboring nodes are constantly established and torn down in an ad hoc network. This momentary phenomenon results in highly unpredictable network behavior, and it degrades the signal transmission performance severely. The second factor, complexity of the urban environment also affects network transmission: a wireless signal may travel across different buildings and materials with different fading qualities; before it finally reaches its destination, the quality of transmitted data becomes unforeseeable. In this paper, we propose a novel wireless sensor network (WSN) to assist VANET transmission in urban areas. Sensors are placed along streets and junctions to assist wireless signal transmission. Then we propose a novel algorithm called the Smart Routing Algorithm (SRA) to control the sensor network. It will search for communication links which guarantee bit error rates (BER) using a genetic algorithm optimization tool. Finally we verify SRA's performance by comparing its quality to the mainstream ad hoc network routing protocol Ad hoc On-demand Distance Vector routing (AODV), using the US city of Boston as an example environment. Simulation shows that SRA can optimize signal quality from 10 -2 to 10 -3 within 10 epochs of optimization rounds, and can optimize links ranging from distances of 100m to 1km. It also can locate links with the minimum number of sensors, for energy conservation purposes. Compared with AODV, SRA is a more efficient and feasible option for path routing optimization. IntroductionIn the past decade, ad hoc networks have been studied by many researchers due to their widespread application in daily life. However, much of the work has been carried out in the free-space environment and assumed that signal propagation follows a simple line of sight (LOS) transmission model [1], [2]. There was thus a dearth of research were executed in the real urban area environment, where wireless signals need to transmit through buildings and across concrete walls before reaching their destinations. This situation lasted until the 2000s, when a transportation based system, the Vehicular Ad hoc Network (VANET) was introduced and investigated in several industrial projects [3], [4], [5]. As described in the subsequent reports and surveys, a VANET is a mobile ad hoc network (MANET) where vehicles act as nodes which are restricted to move along city streets[6], [7]. The VANET is clearly a more realistic modeling of urban ad hoc networks. Unfortunately, previous routing algorithms, such as Ad hoc On-demand Distance Vector routing (AODV) [8] and GPSR [9] were reported to have unsatisfactory performance within the VANET environment [10]. This is because signal transmission in VANETs does not follow the LOS propagation model, a...

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Energy management in sensor networks

Cited by 20 publications

References 48 publications

Energy management in Wireless Sensor Networks: A survey

Energy management in Wireless Sensor Networks: A survey

Wireless Sensor Networks Communication: Energy Efficient Paradigm

Urban Vehicular Network Performance Optimization

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