Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
SIA: secure information aggregation in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
On greedy geographic routing algorithms in sensing-covered networks
Proceedings of the 5th ACM international symposium on Mobile ad hoc networking and computing
E.cient Aggregation of encrypted data in Wireless Sensor Networks
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Energy-aware lossless data compression
ACM Transactions on Computer Systems (TOCS)
Maximizing lifetime of sensor surveillance systems
IEEE/ACM Transactions on Networking (TON)
Software-based sensor node energy estimation
Proceedings of the 5th international conference on Embedded networked sensor systems
Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
An Integrated Approach to Sensor Role Selection
IEEE Transactions on Mobile Computing
Asynchronous Self-Localization of Sensor Networks with Large Clock Drift
MOBIQUITOUS '07 Proceedings of the 2007 Fourth Annual International Conference on Mobile and Ubiquitous Systems: Networking&Services (MobiQuitous)
Distributed beamforming for wireless sensor networks with random node location
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Collaborative beamforming for wireless sensor networks with Gaussian distributed sensor nodes
IEEE Transactions on Wireless Communications
Joint time synchronization and localization of an unknown node in wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Simple, zero-feedback, distributed beamforming with unsynchronized carriers
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Adaptive, Cluster Based, Sensor Network Routing Protocol
UKSIM '11 Proceedings of the 2011 UKSim 13th International Conference on Modelling and Simulation
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
Beamforming Algorithms for Information Relaying in Wireless Sensor Networks
IEEE Transactions on Signal Processing - Part I
The design space of wireless sensor networks
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
Node clustering in wireless sensor networks: recent developments and deployment challenges
IEEE Network: The Magazine of Global Internetworking
Hi-index | 0.00 |
Energy conservation is essential in Wireless Sensor Networks (WSNs) because of limited energy in nodes' batteries. Collaborative beamforming uses multiple transmitters to form antenna arrays; the electromagnetic waves from these antenna arrays can create constructive interferences at the receiver and increase the transmission distance. Each transmitter can use lower power and save energy, since the energy consumption is spread over multiple transmitters. Each beamforming transmission requires multiple collaborative transmitters. Repetitively using the same transmitters will deplete their energy and create coverage holes in the sensing area. To prevent holes, energy should be balanced by using different transmitters. This article investigates the factors that can affect the energy consumption and network lifetime when using beamforming. We present an algorithm for selecting the transmitters in order to prolong the network lifetime. Compared with an existing beamforming transmitters scheduling algorithm, our algorithm doubles the network lifetime. When compared with direct transmission or multihop transmissions towards a receiver far away from the sensing area, our approach can increase the network's lifetime substantially.