This thesis work is done for the department of Electronic System at The Institute of Technology at Linköping University (Linköpings Tekniska Högskolan). Study's focus is to design and implement a protocol for smart dust networks to improve the energy consumption algorithm for this kind of network. Smart dust networks are in category of distributed sensor networks and power consumption is one of the key concerns for this type of network. This work shows that by focusing on improving the algorithmic behavior of power consumption in every network element (so called as mote), we can save a considerable amount of power for the whole network. Suggested algorithm is examined using Erlang for one mote object and the whole idea has put into test for a small network using SystemC.

No description available.

Wireless sensor networks can enable numerous advanced monitoring and control applications. They are characterized by a need to maximize their efficiency, especially with respect to energy consumption, since the lifetime of a sensor node has a huge impact on the usability of a wireless sensor network. In this thesis, an energy efficient MAC protocol for wireless sensor networks is proposed. The protocol is based on IEEE 802.11, with some modifications to accommodate power efficiency and scalability which are the two main design factors for wireless sensor networks. The proposed Multi-Phase MAC (Φ-MAC) protocol uses periodic listen and sleep modes to save energy. Sensor nodes in Φ-MAC protocol are allocated into different phases so that the listen periods of the different phases are non-overlapping. Distributing the nodes among the phases allows the nodes to sleep longer and conserve battery power. This distribution also effectively reduces the traffic seen by the nodes in each phase, which reduces the probability of collisions and retransmissions. The results of the numerical simulations show that Φ-MAC outperforms other proposed MAC protocols in its efficiency of consuming power.

Thesis (Ph. D.)--George Mason University, 2007. / Title from PDF t.p. (viewed Jan. 18, 2008). Thesis director: Sanjeev Setia. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Vita: p. 117. Includes bibliographical references (p. 112-116). Also available in print.

Thesis (Ph. D.)--Ohio State University, 2004. / Title from first page of PDF file. Document formatted into pages; contains xii, 150 p.; also includes graphics Includes bibliographical references (p. 142-150). Available online via OhioLINK's ETD Center

Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, March 2005. / Thesis Advisor(s): Murali Tummala, Hersch Loomis. Includes bibliographical references (p. 87-91). Also available online.

archives@tulane.edu / 1 / Jack Green

Thesis (Ph.D.)--York University, 2007. Graduate Programme in Earth and Space Science. / Typescript. Includes bibliographical references (leaves 167-176). Also available on the Internet. MODE OF ACCESS via web browser by entering the following URL: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:NR32057

Thesis(M.S.)--Auburn University, 2006. / Abstract. Includes bibliographic references (p.67-68).

Thesis(M.S.)--Auburn University, 2005. / Abstract. Includes bibliographic references.