Energy Efficient Sleep Schedule for Achieving Minimum Latency in Query based Sensor Networks

Abstract-The wireless medium being inherently broadcast in nature and hence prone to interferences requires highly optimized medium access control (MAC) protocols. This holds particularly true for wireless sensor networks (WSNs) consisting of a large amount of miniaturized battery-powered wireless networked sensors required to operate for years with no human intervention. There has hence been a growing interest on understanding and optimizing WSN MAC protocols in recent years, where the limited and constrained resources have driven research towards primarily reducing energy consumption of MAC functionalities.In this paper, we provide a comprehensive state-of-the-art study in which we thoroughly expose the prime focus of WSN MAC protocols, design guidelines that inspired these protocols, as well as drawbacks and shortcomings of the existing solutions and how existing and emerging technology will influence future solutions.In contrast to previous surveys that focused on classifying MAC protocols according to the technique being used, we provide a thematic taxonomy in which protocols are classified according to the problems dealt with. We also show that a key element in selecting a suitable solution for a particular situation is mainly driven by the statistical properties of the generated traffic.

show abstract

“…Q-MAC (Query MAC) [68] proposes a scheduled MAC that adapts to traffic conditions. It is similar to DMAC.…”

Section: ) Minimizing Sleep Delay: Adaptive Listeningmentioning

confidence: 99%

MAC Essentials for Wireless Sensor Networks

Bachir

Döhler

Watteyne

et al. 2010

IEEE Commun. Surv. Tutorials

437

283

View full text Add to dashboard Cite

show abstract

“…N.A. Vasanthi and Sannadurai [5] defined a new Sleep schedule (Q-MAC) for Query based sensor networks that give energy efficient data transmission with minimum end-to-end latency. Using the static schedule the radios of the nodes sleep extra whenever there is no query.…”

Section: Literature Surveymentioning

confidence: 99%

An Energy Efficient Critical Event Monitoring Routing Method for Wireless Sensor Networks

Shinde¹,

Sonavane²

2015

IJCA

View full text Add to dashboard Cite

In wireless sensor network (WSN), due to restraint of node energy, energy efficiency is an important factor that should be considered when designing the protocol. In order to save energy data combination and aggregation should be exploited in this case decreasing energy consumption and communication cost by aggregate redundant data at transitional node which reducing size and number of exchange messages. The network formed is ad-hoc network, as nodes in this network communicate with each other without any infrastructure. This paper proposed a new improved algorithm EEDRINA was compared to two other known solutions LowEnergy Adaptive Clustering Hierarchy (LEACH) and Data Routing for In -Network Aggregation (DRINA) algorithms which is intended to improve the routing technique to improve routing performance as well as balance energy consumption of the entire network and extend the life of network in critical event monitoring. This work is emulated by NS2 platform, the simulation results indicates that our proposed EEDRINA solution outperforms these LEACH & DRINA known solutions in different scenarios and in different parameters required by WSN.

show abstract

“…This protocol reduces the end-to-end forwarding delay in the network by coordinating sleep schedules. Similarly, in [54], Vasanthi and Annadurai present Q-MAC that provides a minimum end-to-end latency by alerting the intermediate nodes in advance using dynamic schedule. In [55], Yang and Vaidya present a wakeup scheme that helps to improve the end-to-end delay.…”

Section: Contention-basedmentioning

confidence: 99%

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Zand

Chatterjea

Das

et al. 2012

JSAN

View full text Add to dashboard Cite

While traditional wired communication technologies have played a crucial role in industrial monitoring and control networks over the past few decades, they are increasingly proving to be inadequate to meet the highly dynamic and stringent demands of today's industrial applications, primarily due to the very rigid nature of wired infrastructures. Wireless technology, however, through its increased pervasiveness, has the potential to revolutionize the industry, not only by mitigating the problems faced by wired solutions, but also by introducing a completely new class of applications. While present day wireless technologies made some preliminary inroads in the monitoring domain, they still have severe limitations especially when real-time, reliable distributed control operations are concerned. This article provides the reader with an overview of existing wireless technologies commonly used in the monitoring and control industry. It highlights the pros and cons of each technology and assesses the degree to which each technology is able to meet the stringent demands of industrial monitoring and control networks. Additionally, it summarizes mechanisms proposed by academia, especially serving critical applications by addressing the real-time and reliability requirements of industrial process automation. The article also describes certain key research problems from the physical layer communication for sensor networks and the wireless networking perspective that have yet to be addressed to allow the successful use of wireless technologies in industrial monitoring and control networks.

show abstract

Energy Efficient Sleep Schedule for Achieving Minimum Latency in Query based Sensor Networks

Cited by 34 publications

References 10 publications

MAC Essentials for Wireless Sensor Networks

MAC Essentials for Wireless Sensor Networks

An Energy Efficient Critical Event Monitoring Routing Method for Wireless Sensor Networks

Wireless Industrial Monitoring and Control Networks: The Journey So Far and the Road Ahead

Contact Info

Product

Resources

About