PAMAS—power aware multi-access protocol with signalling for ad hoc networks
ACM SIGCOMM Computer Communication Review
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
A taxonomy of wireless micro-sensor network models
ACM SIGMOBILE Mobile Computing and Communications Review
Infrastructure tradeoffs for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
On Selection of Optimal Transmission Power for Ad hoc Networks
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Wireless sensor networks
Versatile low power media access for wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Multihop medium access control for WSNs: an energy analysis model
EURASIP Journal on Wireless Communications and Networking
WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
IEEE Transactions on Parallel and Distributed Systems
X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Analog Circuit Design
R-MAC: Reservation Medium Access Control Protocol for Wireless Sensor Networks
LCN '07 Proceedings of the 32nd IEEE Conference on Local Computer Networks
MIMO-Based and SISO Multihop Sensor Networks: Energy Efficiency Evaluation
WIMOB '07 Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
Energy-efficient MAC and routing design in distributed beamforming sensor networks
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Sensor selection cost function to increase network lifetime with QoS support
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Analysis and enhancement of on-demand routing in wireless sensor networks
Proceedings of the 3nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
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The energy consumed by radio transceivers is a significant factor limiting the lifetime of wireless sensor networks (WSNs). Maximizing WSN lifetime is the overall aim of this work, which proposes that optimal routing be defined with a network design that minimizes the energy consumed by transceivers. This definition of optimal routing is greatly influenced by transmission range, which is adjustable and therefore a candidate predictor or independent variable that affects the criterion, which is the need to minimize energy consumption and thereby maximize lifetime. The effects of transmission range depend on the physical dimensions and node density of the WSN being observed. This dependency binds the result to a particular design and therefore, to be more general, it is noted that transmission range directly controls neighborhood size - also known as node degree - which forms a more generic predictor of optimal routing as defined in the empirical experiments of this work. Increasing node degree saves energy by reducing hop-count. This benefit, however, is vitiated in a complicated tradeoff that is understood through a broad view of the routing behavior observed at multiple network layers. A final investigation into the primary causes of wasted energy identifies future work that will enable WSNs to reap the energy savings made possible by the improved transmission ranges available with new transceivers.