Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Rumor routing algorthim for sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
IEEE Transactions on Parallel and Distributed Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Event-Based Motion Control for Mobile-Sensor Networks
IEEE Pervasive Computing
Self-organized routing for wireless microsensor networks
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Communications Magazine
Optimal data gathering paths and energy balance mechanisms in wireless networks
DCOSS'10 Proceedings of the 6th IEEE international conference on Distributed Computing in Sensor Systems
ActiSen: Activity-aware sensor network in smart environments
Pervasive and Mobile Computing
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Most routing algorithms for sensor networks focus on finding energy efficient paths to prolong the lifetime of sensor networks. As a result, the sensors on the efficient paths are depleted quickly, and consequently the sensor networks become incapable of monitoring events from some parts of their target areas. In many sensor network applications, the events have uncertainties in positions and generation patterns. Therefore, routing algorithms should be designed to consider not only energy efficiency, but also the amount of energy left in each sensor to avoid sensors running out of power early. This paper introduces a new metric, called Energy-Welfare, devised to consider average and balance of sensors' remaining energies simultaneously. Using this metric, we design the Maximum Energy Welfare Routing algorithm, which achieves energy efficiency and energy balance of sensor networks simultaneously. Moreover, we demonstrate the effectiveness of the proposed routing algorithm by comparing with three existing routing algorithms.