DOI: 10.5176/978-981-08-5837-7 066

Authors: Heh Miao, Dana Madison

Abstract:

Wireless Sensor Networks (WSNs) can be integrated across major critical communications infrastructure to form a Wireless-Sensor Cloud (WS-Cloud) that exchanges performance and component data in a virtualized environment. Such data can be fused with other real-time data to support cost efficient and fault tolerant delivery of end-user services. In this research work, there will be a design of cluster-based WSN architecture to provide for the on-demand message packet passing protocols that supports data fusion techniques. Key design will provide for efficient real-time data collection in ad-hoc-wireless sensor networks that form wireless access cloud infrastructure.

Gathering sensed information is a critical operation of the sensor network. The main goal is to collect and aggregate data in an energy efficient manner so that network lifetime is prolonged. A key outcome of the research will be a cluster-based architecture that can be scalable and supports different data fusion protocols. We investigate data gathering operation by proposing a cluster-based routing protocol and analyzing the performance of the protocol through quantitative analysis. The protocol, named Series Number Based Depth-First Data Gathering (DPFDG/SNBDPF) is based on a new cluster architecture induced from an existing sensor network model. The new architecture consists of one or more complete clusters that are suitable for wireless intra-cluster data gathering operation. The protocol uses a serial-number-based control schedule at MAC layer to avoid collision, cluster-head rotation to control topology change and to balance energy consumption, and depth-first routing all coordinated to reduce energy dissipation.
Extensive simulations and analysis show that the proposed SNBDPF protocol outperforms some existing data gathering protocols such as Direct Diffusion, LEACH, HEED and PEGASIS in terms of energy efficiency, energy consumption, and network lifetime. The simulations also demonstrate that the proposed SNBDPF protocol achieves more uniform energy consumption among sensor nodes than existing protocols.

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