A Bio-Inspired Scheduling Scheme for Wireless Sensor Networks

Sensor networks with a large amount of sensor nodes usually have high redundancy in sensing coverage. The network lifetime can be further extended by proper scheduling and putting unnecessary sensor nodes into sleep mode. In this paper a bio-inspired scheduling scheme is proposed. The proposed scheme is a kind of adaptive "selective on-off" scheduling scheme which uses only local information for making scheduling decisions. The scheme is evaluated in terms of target 3-coverage hit-rate, averaged detection delay, and energy consumption per successful target detection. Simulation results show that our proposed scheme can reduce energy consumption by as much as 2/3 when comparing with other generic scheduling schemes while maintaining the detection delay and target hit-rate at a comparable level. Optimization of the network lifetime and other performances is possible by adjusting some parameters.Department of Electronic and Information EngineeringAuthor name used in this publication: Chi K. TseAuthor name used in this publication: Francis C. M. LauRefereed conference pape

Dynamic Hierarchical Sleep Scheduling for Wireless Ad-Hoc Sensor Networks

This paper presents two scheduling management schemes for wireless sensor networks, which manage the sensors by utilizing the hierarchical network structure and allocate network resources efficiently. A local criterion is used to simultaneously establish the sensing coverage and connectivity such that dynamic cluster-based sleep scheduling can be achieved. The proposed schemes are simulated and analyzed to abstract the network behaviors in a number of settings. The experimental results show that the proposed algorithms provide efficient network power control and can achieve high scalability in wireless sensor networks

Scheduling Transmission of Bulk Data in Sensor Networks using a Dynamic TDMA Protocol

Sensor networks are increasingly used in applications where sensors periodically measure data with high rates. The reliable transport of high volumes of sampled data through a multi-hop network with limited resources requires sophisticated protocols. This paper presents a novel protocol for this task that uses minimal energy, provides high throughput, and requires only small amounts of additional buffer. The protocol is based on a dynamic TDMA scheme and is robust against omission failures. 1