A survey on cross-layer solutions for wireless sensor networks

Mendes, Lucas D. P.; Rodrigues, Joel J. P. C.

doi:10.1016/j.jnca.2010.11.009

Cited by 139 publications

(71 citation statements)

References 68 publications

(80 reference statements)

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“…It is expected that an integrated crosslayer design can significantly improve energy efficiency as well as adaptability to dynamic environments. Indeed, cross-layer solutions exploit interactions between different layers to optimise network performances, as surveyed in [128] and [129]. Sensor requirements (QoS, routing, lifetime, security, etc.)…”

Section: Cross Layer Approachesmentioning

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: Cross Layer Approachesmentioning

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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“…These protocols use the concept of cross layering [13] which is already addressed in WSNs, where each layer (adjacent or non-adjacent) in the protocol stack shares their information unlike in the strict layered model. In WBANs, we can utilize the cross layering concept between network and medium access control (MAC) layers for routing and thereby can upgrade the overall network performance.…”

Section: Cross-layered Routing Protocolsmentioning

confidence: 99%

A guide for the selection of routing protocols in WBAN for healthcare applications

Bhanumathi

Sangeetha

2017

Hum. Cent. Comput. Inf. Sci.

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In the present scenario, the term wireless body area network (WBAN) is becoming an integral part of human day to day life due its wide variety of applications, especially in the field of healthcare systems. To design such a reliable body area network system, there are a number of factors to be considered both in hardware and software levels. One of such factors still developing is the design and the analysis of routing protocols in the network layer. Routing protocols are a set of protocols which can identify and maintain the routes in the network so that the data can be exchanged between the nodes efficiently. Hence, routing protocol plays a vital role in the wireless sensor networks for reliable communication between the sensor nodes. In this paper, different routing protocols for body area networks are surveyed and observed that they are affected by factors like energy, network topology, various quality of services (QoS) in the nodes, node temperature, transmission range of nodes, human posture, etc. An evocative taxonomy of protocols is presented such as cluster-based, cross-layered, postural movement based, QoS aware and temperature-aware routing protocols. From the survey, it is found that the selection of a routing protocol is application dependent. For example, the energy efficient protocols like reinforcement learning based routing with QoS support or wireless autonomous spanning tree protocol can be used for daily health monitoring systems due to its high packet delivery ratio. If the system is for in vivo networks, routing algorithm for network of homogeneous and Id-less biomedical sensor nodes or mobility-supporting adaptive threshold-based Thermal-aware energy-efficient multi-hop protocols are the suitable ones. For critical and emergency cases, where accuracy with little delay is the major concern, the protocols like critical data routing, reliability aware routing, data-centric multi objective QoS-aware routing protocol, etc. can be rightly chosen. This entire survey paper can be used by the researchers as a reference for studying various WBAN routing protocols, especially in the field of medical health care systems.

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“…They require however changes to off-the-shelf MAC hardware, software of both. Cross-layer approaches to improve effectiveness and predictability in WSNs as surveyed in [9] and explored in [10]. These approaches also affect adjacent protocol layers, which means comprehensive changes to WSN protocol stacks developed, tested, and deployed in smart grid and industrial production contexts and elsewhere.…”

Section: Related Workmentioning

confidence: 99%

“…15.4e which includes time-slotted channel hopping for better support of industrial applications [3]. Also, cross-layer approaches have been shown to help in improving effectiveness and predictability of WSNs [9,10]. Although tweaking MAC protocols and possibly adjacent protocol layers provide attractive network properties, such solutions come at the cost of protocol changes and imply to abandon widely used and tested protocol implementations.…”

Section: Introductionmentioning

confidence: 99%

Proportional throughput differentiationwith cognitive load-control on WSN channels

Bodin

Wolosz

2015

J Wireless Com Network

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Wireless sensor networks are nowadays used in various applications to facilitate monitoring and actuation tasks, e.g., for smart grids and industrial automation. Some of these applications require guarantees or at least assurances on reliability. Such applications expect predictable throughput and delay, which are hard to maintain in environments with changing radio conditions. QoS-aware MAC protocols capable of handling such environments are well explored. They require however protocol changes and are therefore difficult to deploy. This paper presents an application layer forwarding service that offers proportional differentiation while limiting network load to preserve high utilization and predictability. Demands for capacity are expressed as fractions of the overall channel throughput. We show that this service can be implemented with a cognitive load controller (CLC) based on fuzzy logic and quality assessed with utility functions for application layer packet loss and throughput. We evaluate the CLC for 802.15.4 with CSMA/CA through NS-3 simulations showing that it offers the intended service while adjusting load for high overall throughput and low delay.

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A survey on cross-layer solutions for wireless sensor networks

Cited by 139 publications

References 68 publications

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

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

A guide for the selection of routing protocols in WBAN for healthcare applications

Proportional throughput differentiationwith cognitive load-control on WSN channels

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