PicoRadio: Ad-hoc wireless networking of ubiquitous low-energy sensor/monitor nodes

Rabaey, Jan M.; Ammer, J.; Silva, José Luís da; Patel, Dasharath M.

doi:10.1109/iwv.2000.844522

Cited by 99 publications

(55 citation statements)

References 1 publication

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“…Among these, the PicoRadio group from UC Berkeley analyzed the optimum number of hops that minimizes the total system energy in a multihop network with a single source node [2]. Their result indicates that the optimum number of hops depends on the total transmission distance, the propagation environment, and device parameters.…”

Section: Related Workmentioning

confidence: 99%

Energy efficient system design with optimum transmission range for wireless ad hoc networks

Chen

O'Dea

Callaway

2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)

102

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-In ad hoc networks, devices are required to selforganize themselves into a network without previously established infrastructure. The kind of ad hoc network we consider in this paper is made up of a multitude of relatively low mobility, short range, wireless devices, pervasively deployed throughout the environment. One of the most important design criteria for this type of network is energy efficiency. This paper looks at the energy efficiency aspect of the system design.Specifically, this paper looks at the optimum one-hop transmission distance that will minimize the total system energy. The analysis assumes that the individual devices do not have power control, but that the transmission range of all the devices as a group can be varied in the design stage. The results show that the optimum one-hop transmission distance is independent of the physical network topology, the number of transmission sources, and the total transmission distance. It only depends on the propagation environment and the device parameters.With this result, some system design trade offs can be made to minimize the total system energy. We discuss what these parameters are, how they interact with each other, and how they can be used to obtain an energy efficient wireless system. We also discuss the implications this result has for future developments of low bit rate, short range, and highly dense wireless devices for ad hoc networks.

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Section: Related Workmentioning

confidence: 99%

Energy efficient system design with optimum transmission range for wireless ad hoc networks

Chen

O'Dea

Callaway

2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333)

102

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“…A number of solutions have been presented that suggest the use of a secondary, low-power radio to wake up the main radio [17], [18], [19]. These solutions benefit from having an essentially "perfect" sleep schedule, where nodes are asleep during all times when they are not needed for active communication.…”

Section: B Wakeup Radiomentioning

confidence: 99%

Idle-time energy savings through wake-up modes in underwater acoustic networks

2009

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Interest in underwater sensor networks has increased recently due to the possibility of using autonomous underwater vehicles and sensors to explore the oceans and monitor underwater equipment. Such networks, due to the need for long term deployments, must be energy efficient, like their terrestrial counterparts. However, there are fundamental differences between radio interfaces and acoustic modems, both in terms of achievable performance (e.g., bit rate and latency) and in terms of energy consumption (i.e., transmit power, receive power, sleep power, etc.). These differences may cause techniques that are highly effective for radios to perform poorly in acoustic scenarios. This paper considers asynchronous idle-time power management techniques and the effects of acoustic modem properties on the optimal solutions. Specifically, we compare two main techniques, a sleep cycling solution and a wakeup mode solution. We show that for traffic rates of greater than one packet every few hours, using a wakeup mode may be the most efficient way to save energy.

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“…The system was designed in such a way which made both software and hardware able to support energy-saving functioning, short term response, autonomy and high survivability. Another important development work in the WSN field was the study of the University of California at Berkeley, which had started PicoRadio [10] program in 1999. The goal of the program was to support the assembly of an ad hoc (application specific) WSN of low-cost, low-energy sensor nodes, able to operate on the natural sources of energy, such as solar energy.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network

hanfi¹,

rai²

2016

IJECS

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The history of sensor network technology originates in the first distributed sensing idea implementations. The continuous work of researchers and engineers over sensor networks which lately became wireless sensor networks (WSNs). Wireless sensor network is one of the g r o w i n g technology for sensing and performing the different tasks. Such networks are beneficial in many fields, such as emergencies, health monitoring, environmental control, military, industries and these networks prone to malicious users' and physical attacks due to radio range of network, un-trusted transmission, unattended nature and get access easily. Security is a fundamental requirement for these networks. In this paper, our center of attention is on physical attacks and issues in wireless sensor networks. Through this review, easily identify the purpose and capabilities of the attackers. Further, we discuss well-known approaches of security detection against physical attacks. The template is used to format your paper and style the text. All margins, column widths, line spaces, and text fonts are prescribed; please do not alter them.

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PicoRadio: Ad-hoc wireless networking of ubiquitous low-energy sensor/monitor nodes

Cited by 99 publications

References 1 publication

Energy efficient system design with optimum transmission range for wireless ad hoc networks

Energy efficient system design with optimum transmission range for wireless ad hoc networks

Idle-time energy savings through wake-up modes in underwater acoustic networks

Wireless Sensor Network

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