By Boon-Chong Seet
Cellular Peer-to-Peer Computing for subsequent iteration allotted Environments: Advancing Conceptual and Algorithmic functions specializes in present examine and innovation in cellular and instant applied sciences. This complicated ebook offers researchers, practitioners, and academicians with an authoritative reference resource to the newest state of the art advancements during this starting to be expertise box.
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Extra resources for Mobile peer-to-peer computing for next generation distributed environments: advancing conceptual and algorithmic applications
It is therefore unrealistic to directly map a wired DHT design to MANETs. The ad-hoc DHT is thus used to maintain a minimalist overlay for safety reasons only, but without long-range links. Instead, to spontaneously discover shortcuts in the logical space, it relies on the node’s physical neighborhood being traversed by a lookup request. This provides in a liveliness property, because long-range links may be encountered on a random basis. The assumption here is that lookup requests can be routed more efficiently and at much lower management costs than when deterministically maintaining O(logN) long-range neighbors.
The remainder of this chapter is organized as follows. The Background section discusses related approaches. The Distributed Hash Table for Mobile Ad-hoc Networks section presents the ad-hoc DHT algorithm in detail, including evaluation results. The Building Multicast Trees in Mobile Ad-hoc Networks section describes and evaluates the multicast tree-building algorithm. Finally, the chapter is summarized in the Conclusion section. 3 P2P Information Lookup, Collection, and Distribution in Mobile Ad-Hoc Networks bAckgRound In this section, we provide an overview of various approaches related to the algorithms presented.
For the algorithm’s version with cache, a warm-up phase is used to populate the routing tables before evaluating the DHT. The lookup performances are obtained as a result of 2,000 lookups issued from random nodes searching for randomly chosen keys. 10 We then experimented with the DHT using the following simulation parameters: • • • • • Network sizes: 1,000 (1K); 5,000 (5K); Connectivity: The average number of physical connections for a node (network density) varies between 13 and 16; Lookup requests: For each experiment, the paths of at least 2,000 randomly generated requests are statistically evaluated; Steady state: The variant for the ad-hoc lookup algorithm using the caching mechanism is evaluated with the simulation running a warm-up phase during 2,000 (2K) requests in order to reach a steady state before the statistical information is collected for analysis; Mobility: Randomly chosen in the interval 0 < s ≤ 2m/s in random directions during a finite time t.
Mobile peer-to-peer computing for next generation distributed environments: advancing conceptual and algorithmic applications by Boon-Chong Seet