LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
It is found that the SPIN protocols can deliver 60% more data for a given amount of energy than conventional approaches, and that, in terms of dissemination rate and energy usage, the SPlN protocols perform close to the theoretical optimum.
This dissertation supports the claim that application-specific protocol architectures achieve the energy and latency efficiency and error robustness needed for wireless networks by developing two systems.
A family of adaptive protocols that efficiently disseminate information among sensors in an energy-constrained wireless sensor network, called SPIN (Sensor Protocols for Information via Negotiation), that perform close to the theoretical optimum in both point-to-point and broadcast networks.
This work proposes a QoS-aware routing protocol that incorporates an admission control scheme and a feedback scheme to meet the QoS requirements of real-time applications and implements these schemes by using two bandwidth estimation methods to find the residual bandwidth available at each node to support new streams.
19th IEEE International Parallel and Distributed…
4 April 2005
TLDR
This work proposes an unequal clustering size (UCS) model for network organization, which can lead to more uniform energy dissipation among the cluster head nodes, thus increasing network lifetime and expands this approach to homogeneous sensor networks.
This taxonomy will aid in defining appropriate communication infrastructures for different sensor network application sub-spaces, allowing network designers to choose the protocol architecture that best matches the goals of their application.
MiLAN, a new middleware that allows applications to specify a policy for managing the network and sensors, but the actual implementation of this policy is effected within MiLAN, is described and its effectiveness is shown through the design of a sensor-based personal health monitor.
An overview of the current state-of-the-art in the field of visual sensor networks is provided, by exploring several relevant research directions to provide a better understanding of current research problems in the different research fields ofVisual sensor networks.