dc.contributor.author | Moso, Chebet J | |
dc.date.accessioned | 2013-03-01T15:07:13Z | |
dc.date.issued | 2011 | |
dc.identifier.citation | Masters of science in computer science | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/13172 | |
dc.description.abstract | Optimizing the energy consumption in wireless sensor networks has recently become the most
important performance objective. In this project we define the lifetime of a wireless sensor
network as the amount of time that the network can effectively cover the targets of interest.
Having all the sensors active at all times would ensure coverage but would also significantly
reduce the network lifetime as the nodes would discharge quickly. A viable approach taken to
maximize the network lifetime is to make good use of the overlap in the sensing regions of
individual sensors caused by the high density of deployment. We design a scheduling mechanism
in which only a subset of the sensors can be active at anyone time, while all other sensors are
put to sleep. The members of this active set (cover set) are periodically updated to keep the
network alive for a longer duration of time. Also, for each of the cover sets, the goal is to
smoothly adjust the sensing range such that a minimum sensing range can be maintained while
meeting the target coverage objective. We propose a reliable distributed scheduling algorithm
which can smoothly adjust the nodes' sensing range while providing optimal target coverage
with the minimal set of active sensors. From the simulation results, the improvement in network
lifetime of the Distributed Scheduling Algorithm with adjustable sensing range over the Load
Balancing Protocol for sensing with fixed sensing range is about 26% on average in the linear
energy model and about 50% on average in the quadratic energy model. | en |
dc.description.sponsorship | University of Nairobi | en |
dc.language.iso | en | en |
dc.publisher | University of Nairobi | en |
dc.subject | Maximising | en |
dc.subject | lifetime of wireless sensor networks | en |
dc.subject | distributed scheduling algorithms | en |
dc.subject | adjustable sensing range | en |
dc.title | Maximising lifetime of wireless sensor networks using distributed scheduling algorithms with adjustable sensing range. | en |
dc.type | Thesis | en |
local.publisher | School of Computing and Informatics | en |