Cost-aware capacity optimization in dynamic multi-hop WSNs

Authors:
Jukka Suhonen;Mikko Kohvakka;Mauri Kuorilehto;Marko Hännikäinen;Timo D. Hämäläinen
Affiliations:
Tampere University of Technology, Tampere, Finland;Tampere University of Technology, Tampere, Finland;Tampere University of Technology, Tampere, Finland;Tampere University of Technology, Tampere, Finland;Tampere University of Technology, Tampere, Finland
Venue:
Proceedings of the conference on Design, automation and test in Europe
Year:
2007

Citing 5
Cited 0

An adaptive energy-efficient MAC protocol for wireless sensor networks

Proceedings of the 1st international conference on Embedded networked sensor systems
Medium access control with coordinated adaptive sleeping for wireless sensor networks

IEEE/ACM Transactions on Networking (TON)
Z-MAC: a hybrid MAC for wireless sensor networks

Proceedings of the 3rd international conference on Embedded networked sensor systems
Energy-efficient, collision-free medium access control for wireless sensor networks

Wireless Networks
Performance analysis of IEEE 802.15.4 and ZigBee for large-scale wireless sensor network applications

Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks

Quantified Score

Hi-index	0.00

Visualization

Abstract

Low energy consumption and load balancing are required for enhancing lifetime at Wireless Sensor Networks (WSN). In addition, network dynamics and different delay, throughput, and reliability requirements demand cost-aware traffic adaptation. This paper presents a novel capacity optimization algorithm targeted at locally synchronized, low-duty cycle WSN MACs. The algorithm balances the traffic load between contention and contention free channel access. The energy-inefficient contention access is avoided, whereas the more reliable contention free access is preferred. The algorithm allows making cost-aware trade-off between delay, energy-efficiency, and throughput guided by routing layer. Analysis results show that the algorithm has 10% to 100% better energy-efficiency than IEEE 802.15.4 LR-WPAN in a typical sensing application, while providing comparable goodput and delay.