Invited Talk: Thermal Energy Harvesting with Thermo Life

Stark, I.

doi:10.1109/bsn.2006.37

Cited by 79 publications

(45 citation statements)

References 6 publications

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“…Energy harvesting using thermal gradients. For example, it is possible to use body heat to store energy and use this energy for powering medical sensors [82].…”

Section: Energy Harvesting Mechanismsmentioning

confidence: 99%

Routing in Heterogeneous Wireless Ad Hoc Networks

Cheekiralla

Engels

2007

2007 16th International Conference on Computer Communications and Networks

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Wireless ad hoc networks are used in several applications ranging from infrastructure monitoring to providing Internet connectivity to remote locations. A common assumption about these networks is that the devices that form the network are homogeneous in their capabilities. However in reality, the networks can be heterogeneous in the capabilities of the devices. The main contribution of this thesis is the identification of issues for efficient communication in heterogeneous networks and the proposed solutions to these issues.The first part of the thesis deals with the issues of unambiguous classification of devices and device identification in ad hoc networks. A taxonomical approach is developed, which allows devices with wide range of capabilities to be classified on the basis of their functionality. Once classified, devices are characterized on the basis of different attributes. An IPv6 identification scheme and two routing services based on this scheme that allow object-object communication are developed. The identification scheme is extended to a multi-addressing scheme for wireless ad hoc networks. These two issues and the developed solutions are applicable to a broad range of heterogeneous networks.The second part of the thesis deals with heterogeneous networks consisting of omnidirectional and directional antennas. A new MAC protocol for directional antennas, request-to-pause-directional-MAC (RTP-DMAC) protocol is developed that solves the deafness issue, which is common in networks with directional antennas. Three new routing metrics, which are extensions to the expected number of transmissions (ETX) metric are developed. The first metric, ETX1, reduces the route length by increasing the transmission power. The routing and MAC layers assume the presence of bidirectional links for their proper operation. However networks with omnidirectional and directional antennas have unidirectional links. The other two metrics, unidirectional-ETX (U-ETX) and unidirectional-ETX1 (U-ETX1), increase the transmission power of the directional nodes so that the unidirectional links appear as bidirectional links at the MAC and the routing layers. The performance of these metrics in different scenarios is evaluated. Thanks to Hari for being a friend, office-mate, and a mentor. Life at MIT, would have been really tough with out his friendship. I learnt so much from him and I have enjoyed his company in the courses, sharing the office space, and discussing a myriad number of topics ranging from research to sports. I look forward to sharing the office space in the future. Thanks to M.N. Srini for his friendship, for his positive attitude and his humor, and for making our (Hari's and mine) office space lively with his presence. Thanks to J.Srini, for sharing his knowledge on carnatic music, honest advice, his humor, and his friendship. Vijay for his humor, advice on running, and the "gult" companionship. Thanks to the members of the "baddy badshahs" for having fun and agreeing to eat where I wanted to eat.

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“…Energy harvesting using thermal gradients. For example, it is possible to use body heat to store energy and use this energy for powering medical sensors [82].…”

Section: Energy Harvesting Mechanismsmentioning

confidence: 99%

Routing in Heterogeneous Wireless Ad Hoc Networks

Cheekiralla

Engels

2007

2007 16th International Conference on Computer Communications and Networks

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“…This can potentially supply an average electrical load of 100µW for close to a year but is insufficient for systems where battery replacement is not an easy option (e.g., implantable medical electronics and embedded wireless microsensors). Table I shows the output power levels generated by energy harvesting techniques [1][2][3][4][5][6][7]. The most common harvesters transduce solar, vibrational or thermal energy into electrical energy.…”

Section: A Energy Scavenging Technologiesmentioning

confidence: 99%

Next generation micro-power systems

Chandrakasan

Daly

Kwong

et al. 2008

2008 IEEE Symposium on VLSI Circuits

121

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Emerging microsystems such as portable and implantable medical electronics, wireless microsensors and next-generation portable multimedia devices demand a dramatic reduction in energy consumption. The ultimate goal is to power these devices using energy harvesting techniques such as vibration-to-electric conversion or through wireless power transmission. A major opportunity to reduce the energy consumption of digital circuits is to scale supply voltages to 0.5V and below. The challenges associated with ultra-low-voltage design will be presented. These include variation-aware design for logic and SRAM circuits, efficient DC-DC converters for ultra-low-voltage delivery, and algorithm structuring to support extreme parallelism. This paper also addresses micro-power analog and RF circuits, which require the use of applicationspecific structures and highly digital variation-aware architectures.

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“…One good example of harvesting energy from mechanical movement is from industry, where vibration energy converters harvest energy and power wristwatches. Researcher in (Stark 2006) analysed regular vibration sources such as cars, buildings and trains which can be employed by sensor nodes. 88 Among the various modes of energy harvesting, vibration energy harvesting is the most versatile technique developed in the literature (Hua et al 2014).…”

Section: Introductionmentioning

confidence: 99%