Optimal sensor scheduling in nonlinear filtering of diffusion processes
SIAM Journal on Control and Optimization
On deriving the upper bound of α-lifetime for large sensor networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Opportunistic carrier sensing for energy-efficient information retrieval in sensor networks
EURASIP Journal on Wireless Communications and Networking - Special issue on advanced signal processing algorithms for wireless communications
Multipath fading in wireless sensor networks: measurements and interpretation
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Time-varying Opportunistic Protocol for maximizing sensor networks lifetime
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Sensor networks with mobile agents
MILCOM'03 Proceedings of the 2003 IEEE conference on Military communications - Volume I
An Integrated Approach to Energy-Aware Medium Access for Wireless Sensor Networks
IEEE Transactions on Signal Processing - Part I
Estimation of the number of operating sensors in large-scale sensor networks with mobile access
IEEE Transactions on Signal Processing
Algorithms for optimal scheduling and management of hidden Markovmodel sensors
IEEE Transactions on Signal Processing
Transmission Scheduling for Optimizing Sensor Network Lifetime: A Stochastic Shortest Path Approach
IEEE Transactions on Signal Processing
Autoregressive modeling for fading channel simulation
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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In this paper, we examine the advantages of transmission scheduling by medium access control (MAC) protocols for energy-limited wireless sensor networks (WSN) as a means of maximizing network lifetime. We consider transmission scheduling for sensor networks with a mobile access point, where each sensor transmits its measurement directly to an access point through a fading channel. WSN lifetime maximization depends almost exclusively on the channel-state information (CSI) and the residualenergy information (REI) of each sensor in the network. We discuss distributed protocols which exploit local CSI and REI. We present a novel protocol for distributed transmission scheduling, dubbed the time-varying opportunistic protocol (TOP), for maximizing the network lifetime. TOP prioritizes sensors with better channels when the network is young, by exploiting local CSI to reduce transmission energy. However, TOP prefers sensors with higher residual energy when the network is old by exploiting local REI to reduce the wasted energy. We show that the relative performance loss of TOP compared to the optimal centralized protocol in terms of network lifetime decreases as the initial energy stored in the sensors increases. Furthermore, TOP significantly simplifies the implementation of carrier sensing compared to other distributed MAC protocols. We also explore the case of large-scale wireless sensor networks, where the activated sensors are picked randomly and modify the implementation of TOP for such networks. Simulation results show that TOP outperforms other distributed MAC protocols that have been proposed recently.