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Wireless Sensor Networks : Bit Transport Maximization and Delay Efficient Function Computation

Electronic Theses of Indian Institute of Science

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Field Value
 
Title Wireless Sensor Networks : Bit Transport Maximization and Delay Efficient Function Computation
 
Creator Shukla, Samta
 
Subject Wireless Sensor Networks
Wireless Sensor Networks - Computation
Wireless Sensor Networks - Delay Minimization
Network Coding
Network Coded Bit Maximization
Arbitrary Wireless Sensor Networks
In-Network Data Aggregation
Arbitrary Wireless Network
Arbitrary Wireless Sensor Network
Wireless Sensor Networks - Bit Transport Maximization
Wireless Sensor Network
Communication Engineering
 
Description We consider a wireless sensor network, in which end users are interested in maximizing the useful information supplied by the network till network partition due to inevitable node deaths. Neither throughput maximization nor network lifetime maximization achieves the objective: A network with high throughput provides information at a high rate, but can exhaust the nodes of their energies quickly; similarly, a network can achieve a long lifetime by remaining idle for most of the time.
We propose and seek to maximize a new metric: “Aggregate bit transported before network partition” (a product of throughput and lifetime), which precisely captures the usefulness of sensor networks. We model the links in the wireless sensor network as wired links with reduced equivalent capacities, formulate and solve the problem of maximizing bits transported before network partition on arbitrary networks.
To assess the benefits that network coding can yield for the same objective, we study a scenario where the coding-capable nodes are placed on a regular grid. We propose an optimal algorithm to choose the minimum number of coding points in the grid to ensure energy efficiency. Our results show that, even with simple XOR coding, the bits transported can increase up to 83 % of that without coding.
Further, we study the problem of in-network data aggregation in a wireless sensor network to achieve minimum delay. The nodes in the network compute and forward data as per a query graph, which allows operations belonging to a general class of functions. We aim to extract the best sub-network that achieves the minimum delay. We design an algorithm to schedule the sub-network such that the computed data reaches sink at the earliest. We consider directed acyclic query graphs as opposed to the existing work which considers tree query graphs only.
 
Contributor Kuri, Joy
 
Date 2018-04-02T16:39:19Z
2018-04-02T16:39:19Z
2018-04-02
2013
 
Type Thesis
 
Identifier http://etd.iisc.ernet.in/2005/3314
http://etd.iisc.ernet.in/abstracts/4178/G25680-Abs.pdf
 
Language en_US
 
Relation G25680