By Ty Znati (auth.), Yingshu Li, Dung T. Huynh, Sajal K. Das, Ding-Zhu Du (eds.)
This booklet constitutes the refereed lawsuits of the 3rd Annual foreign convention on instant Algorithms, structures, and functions, WASA 2008, held in Dallas, TX, united states, in October 2008.
The 35 revised complete papers provided including three keynote talks and 15 invited lectures have been conscientiously reviewed and chosen from a number of submissions. delivering a discussion board for researchers and practitioners, from the tutorial, commercial and governmental sectors, the papers handle present learn and improvement efforts of assorted matters within the region of algorithms, structures and functions for present and subsequent new release infrastructure and infrastructureless instant networks.
Read or Download Wireless Algorithms, Systems, and Applications: Third International Conference, WASA 2008, Dallas, TX, USA, October 26-28, 2008. Proceedings PDF
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Extra info for Wireless Algorithms, Systems, and Applications: Third International Conference, WASA 2008, Dallas, TX, USA, October 26-28, 2008. Proceedings
Example text
Then, a node in N is selected to be included in C (the selection criteria is given below), and its neighbors are removed from U and added into N . This operation is repeated until U becomes empty, which means all nodes in N have been covered by set C and the nodes in C are the non-leaf nodes of the broadcast tree. The broadcast tree is thus obtained. In order to select nodes added into cover-set and choose their propagation area such that the total energy cost defined is minimized, we use the following function to evaluate every propagation area of a candidate node.
All nodes have different locations. The propagation area of node si ’s antenna is a sector shown by the hatching area in Fig. 1, which is between initial line li and end line le with the propagation radius. The propagation area of a sensor si can be denoted by a 4-tupe (Li , ri , ϕi , θi ) [19], where Li is the location of the sensor node si , ri is the propagation radius, the antenna orientation ϕi (0 ≤ ϕi ≤ 2π) of node si is defined as angle measured counter-clockwise from the horizontal axis to the end line of the propagation area, and θi (θmin ≤ θi ≤ 2π) is the angle of beam-width.
Max{f (si )|si ∈ N }) will be selected and put into the Cover-Set C. Firstly, we need to choose the propagation area (Li , rik , ϕik , θik ) with the largest f (rik , θik ) for ∀si ∈ N , then select node si with the largest f (si ) in the candidate set N . We call this process as the Antenna Selection Process. We describe the detail of this process separately in next subsection. As a result, the total energy cost of the broadcast tree can be made as small as possible. The Greedy Algorithm is formally as the following: Input: V , Pmax , θmin and a broadcast request from s Output: T : a broadcast tree rooted from s.
