A Survey on Energy-Efficient Routing Techniques with QoS Assurances for Wireless Multimedia Sensor Networks

Ehsan, Samina; Hamdaoui, Bechir

doi:10.1109/surv.2011.020211.00058

Cited by 339 publications

(210 citation statements)

References 72 publications

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“…Multimetric protocols use various network measurements to satisfy multiple application needs. For example, recent application-specific routing protocols have proposed to combine energy efficiency with QoS requirements [122][123][124] or security concerns [125]. These research works consider the energy reserves of nodes along with video distortion, packet error rate or node reputation.…”

Section: Multimetric Protocolsmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

802

452

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The design of sustainable wireless sensor networks (WSNs) is a very challenging issue. On the one hand, energyconstrained sensors are expected to run autonomously for long periods. However, it may be cost-prohibitive to replace exhausted batteries or even impossible in hostile environments. On the other hand, unlike other networks, WSNs are designed for specific applications which range from small-size healthcare surveillance systems to large-scale environmental monitoring. Thus, any WSN deployment has to satisfy a set of requirements that differs from one application to another. In this context, a host of research work has been conducted in order to propose a wide range of solutions to the energysaving problem. This research covers several areas going from physical layer optimization to network layer solutions. Therefore, it is not easy for the WSN designer to select the efficient solutions that should be considered in the design of application-specific WSN architecture.We present a top-down survey of the trade-offs between application requirements and lifetime extension that arise when designing wireless sensor networks. We first identify the main categories of applications and their specific requirements. Then we present a new classification of energy-conservation schemes found in the recent literature, followed by a systematic discussion as to how these schemes conflict with the specific requirements. Finally, we survey the techniques applied in WSNs to achieve trade-off between multiple requirements, such as multi-objective optimisation.

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Section: Multimetric Protocolsmentioning

confidence: 99%

Energy efficiency in wireless sensor networks: A top-down survey

Rault¹,

Bouabdallah²,

Challal³

2014

Computer Networks

802

452

View full text Add to dashboard Cite

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“…The majority of such efforts are concerned with techniques that can meet the requirements of WMSNs as discussed in [7] [8] [5].…”

Section: List Of Tablesmentioning

confidence: 99%

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Tshiningayamwe

Lusilao-Zodi

Dlodlo

2015

Advances in Intelligent Systems and Computing

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The development of affordable hardware has made it possible to transmit multimedia data over a wireless medium using sensor devices. Deployed sensors span larger geographical areas, generating different kinds of traffic that need to be communicated either in real-time or non-realtime mode to the sink. The tiny sized design of sensor nodes has made them even more attractive in various environments as they can be left unattended for longer periods.Since sensor nodes are equipped with limited resources, newer energy-efficient protocols and architectures are required in order to meet requirements within their limited capabilities when dealing with multimedia data. This is because multimedia applications are characterized by strict quality of service requirements that distinctively differentiate them from other data types during transmission. However, the large volume of data produced by the sensor nodes can easily cause traffic congestion making it difficult to meet these requirements. Congestion has negative impacts on the data transmitted as well as the sensor network at large. Failure to control congestion will affect the quality of multimedia data received at the sink and further shorten the system lifetime.Next generation wireless sensor networks are predicted to deploy a different model where service is allocated to multimedia while bearing congestion in mind. Applying traditional wireless sensor routing algorithms to wireless multimedia sensor networks may lead to high delay and poor visual quality for multimedia applications.In this research, a Priority Rate-Based Routing Protocol (PRRP) that assigns priorities to traffic depending on their service requirements is proposed. PRRP detects congestion by using adaptive random early detection (A-RED) and a priority rate-based adjustment technique to control congestion.We study the performance of our proposed multi-path routing algorithm for real-time traffic when mixed with three non real-time traffic each with a different priority: high, medium or low. Simulation results show that the proposed algorithm performs better when compared to two existing algorithms, PCCP and PBRC-SD, in terms of queueing delay, packet loss and throughput.vi

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“…However, the optimization of application-level energy-efficiency has still great potential in further improving the overall energy-efficiency of mobile computing. Approaches such as optimizing traffic patterns (Hoque et al 2014, Qian et al 2012, Ehsan & Hamdaoui 2012, offloading computation to more capable nodes (Kumar et al 2013, Kosta et al 2012, Saarinen et al 2012, Kumar & Lu 2010, content compression (Ma et al 2013, Kimura & Latifi 2005 and reducing overhead of communication protocols and applications (Bormann et al 2012, Ciraci et al 2009) can significantly improve the battery life of a mobile device.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient peer-to-peer networking for constrained-capacity mobile environments

Harjula

Ojala

Ylianttila

2017

2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)

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Energy efficiency is a powerful measure for promoting sustainability in technological evolution and ensuring feasible battery life of end-user devices in mobile computing. Peer-to-peer technology provides decentralized and self-organizing architecture for distributing content between devices in networks that scale up almost infinitely. However, peer-to-peer networking may require lots of resources from peer nodes, which in turn may lead to increased energy consumption on mobile devices. For this reason, peer-to-peer networking has so far been considered unfeasible for mobile environment.This thesis makes several contributions towards enabling energy-aware peer-to-peer networking in mobile environments. First, an empirical study is conducted to understand the energy consumption characteristics of radio interfaces and typical composition of traffic in structured peer-to-peer networks. This is done in order to identify the most essential obstacles for utilizing peer-to-peer technology in mobile environments. Second, the e-Aware model for estimating the energy consumption of a mobile device is developed and empirically verified to achieve 3-21% error in comparison to real-life measurements. Third, the e-Mon model for the energy-aware load monitoring of peer nodes is developed and demonstrated to improve the battery life of mobile peer nodes up to 470%. Fourth, the ADHT concept of mobile agent based virtual peers is proposed for sharing the peer responsibilities between peer nodes in a subnet so that they can participate in a peer-to-peer overlay without compromising their battery life.The results give valuable insight into implementing energy-efficient peer-to-peer systems in mobile environments. The e-Aware energy consumption model accelerates the development of energy-efficient networking solutions by reducing the need for time-consuming iterations between system development and evaluations with real-life networks and devices. The e-Mon load monitoring model facilitates the participation of battery-powered devices in peer-to-peer and other distributed networks by enabling energy-aware load balancing where energy-critical mobile nodes carry less load than other nodes. The ADHT facilitates the participation of constrained-capacity wireless devices, such as machine-to-machine nodes, in a peer-to-peer network by allowing them to sleep for most of their time.Keywords: battery life, constrained-capacity devices, energy-efficiency, green computing, internet of things, machine-to-machine networks, mobile networks, peer-topeer networks Harjula, Erkki, Energiatehokkaat vertaisverkkoratkaisut rajoitetun kapasiteetin mobiiliympäristöissä.Oulun yliopiston tutkijakoulu; Oulun yliopisto, Tieto-ja sähkötekniikan tiedekunta; Centre for Wireless Communications; Infotech Oulu Acta Univ. Oul. C 573, 2016 Oulun yliopisto, PL 8000, 90014 Oulun yliopisto TiivistelmäEnergiatehokkuus on kustannustehokas tapa vähentää päätelaitteiden käytön aiheuttamia kasvihuonepäästöjä sekä parantaa niiden akunkestoa. Vertaisverkkoteknologia ta...

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A Survey on Energy-Efficient Routing Techniques with QoS Assurances for Wireless Multimedia Sensor Networks

Cited by 339 publications

References 72 publications

Energy efficiency in wireless sensor networks: A top-down survey

Energy efficiency in wireless sensor networks: A top-down survey

A Priority Rate-Based Routing Protocol for Wireless Multimedia Sensor Networks

Energy-efficient peer-to-peer networking for constrained-capacity mobile environments

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