Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Mitigating congestion in wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
Deploying a Wireless Sensor Network on an Active Volcano
IEEE Internet Computing
MoteLab: a wireless sensor network testbed
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Toward Quasiregular Sensor Networks: Topology Control Algorithms for Improved Energy Efficiency
IEEE Transactions on Parallel and Distributed Systems
Overload traffic management for sensor networks
ACM Transactions on Sensor Networks (TOSN)
Visibility: a new metric for protocol design
Proceedings of the 5th international conference on Embedded networked sensor systems
Routing in ad hoc networks: a case for long hops
IEEE Communications Magazine
Reliable data delivery in large-scale low-power sensor networks
ACM Transactions on Sensor Networks (TOSN)
Journal of Network and Computer Applications
| Hi-index | 0.00 |
In routing protocols for wireless sensor networks energy efficiency is of paramount importance. Reliability-oriented protocols discard lossy links to avoid the significant energy cost of packet loss. The downside is that nodes with a particularly favorable channel tend to be overused: their lifespan is curtailed and the total amount of data delivered by the network may be significantly reduced. This problem is particularly critical for the nodes that provide access to the sink, since they have to carry the weight of the whole network. The use of load balancing schemes can be expected to provide significant lifetime benefits: rather than always using the nodes with the best channel, traffic is redistributed over a larger number of relays. We quantify the benefits of load balancing by comparing a routing protocol with embedded load balancing to a reliability-oriented protocol. We present and interpret experimental evidence of the benefits that stem from load balancing, but at the same time we also show that there are situations in which load balancing does not help.