Wireless integrated network sensors
Communications of the ACM
Simulating networks of wireless sensors
Proceedings of the 33nd conference on Winter simulation
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
On path selection for traffic with bandwidth guarantees
ICNP '97 Proceedings of the 1997 International Conference on Network Protocols (ICNP '97)
SPEED:A Real-Time Protocol for Sensor Networks
SPEED:A Real-Time Protocol for Sensor Networks
Networking issues in wireless sensor networks
Journal of Parallel and Distributed Computing
A Minimum Cost Heterogeneous Sensor Network with a Lifetime Constraint
IEEE Transactions on Mobile Computing
WaveScheduling: energy-efficient data dissemination for sensor networks
DMSN '04 Proceeedings of the 1st international workshop on Data management for sensor networks: in conjunction with VLDB 2004
An Efficient and Reliable Routing Protocol for Wireless Sensor Networks
WOWMOM '05 Proceedings of the First International IEEE WoWMoM Workshop on Autonomic Communications and Computing (ACC'05) - Volume 02
A Pro-Active Routing Protocol for Continuous Data Dissemination in Wireless Sensor Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
International Journal of Sensor Networks
QoS and energy aware routing for real-time traffic in wireless sensor networks
Computer Communications
IEEE Communications Magazine
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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In Wireless Sensor Network (WSN), the nodes have limitations in terms of energy-constraint, unreliable links, and frequent topology change. In this paper we propose an energy-aware routing protocol, that outperforms the existing ones with an enhanced network lifetime and more reliable data delivery. Major issues in the design of a routing strategy in wireless sensor networks are to make efficient use of energy and to increase reliability in data delivery. The proposed approach reduces both energy consumption and communication-bandwidth requirements and prolongs the lifetime of the wireless sensor network. Using both analysis and extensive simulations, we show that the proposed dynamic routing helps achieve the desired system performance under dynamically changing network conditions. The proposed algorithm is compared with one of the best existing routing algorithms, GRAB. Moreover, a modification in GRAB is proposed which not only improves its performance but also prolongs its lifetime.