TY - GEN
T1 - Communication/computation trade-offs in wireless sensor networks
T2 - 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNet 2014
AU - Yildiz, Huseyin Ugur
AU - Bicakci, Kemal
AU - Tavli, Bulent
PY - 2014
Y1 - 2014
N2 - In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25% as compared to a network-level optimal strategy where all nodes use a single algorithm.
AB - In wireless sensor networks, nodes having limited battery resources convey data to an energy-unconstrained base station. The amount of data transmitted by a node usually depends on how much local processing is performed. In other words, more computation on a node means less communication with the base station and vice versa. Hence improving energy efficiency and prolonging the network lifetime requires a careful trade-off analysis. This analysis may be performed at a network-level or at a node-level. The latter is more fine-grained allowing different nodes to implement different solutions. In our work, we propose a novel mixed integer programming framework to model and optimize node-level strategies. Using this framework, we show that hybrid use of digital signature algorithms in a network could extend the lifetime up to 21.25% as compared to a network-level optimal strategy where all nodes use a single algorithm.
KW - communication/computation
KW - mixed integer pro-gramming
KW - network lifetime
KW - trade-off analysis
KW - wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=84903600440&partnerID=8YFLogxK
U2 - 10.1109/WiSNet.2014.6825515
DO - 10.1109/WiSNet.2014.6825515
M3 - Conference contribution
AN - SCOPUS:84903600440
SN - 9781479923007
T3 - WiSNet 2014 - Proceedings: 2014 IEEE Topical Conference on Wireless Sensors and Sensor Networks
SP - 49
EP - 51
BT - WiSNet 2014 - Proceedings
PB - IEEE Computer Society
Y2 - 19 January 2014 through 22 January 2014
ER -
