Models and solutions for radio irregularity in wireless sensor networks Export

@article{citeulike:2182918, abstract = {In this article, we investigate the impact of radio irregularity on wireless sensor networks. Radio irregularity is a common phenomenon that arises from multiple factors, such as variance in RF sending power and different path losses, depending on the direction of propagation. From our experiments, we discover that the variance in received signal strength is largely random; however, it exhibits a continuous change with incremental changes in direction. With empirical data obtained from the MICA2 and MICAZ platforms, we establish a radio model for simulation, called the Radio Irregularity Model (RIM). This model is the first to bridge the discrepancy between the spherical radio models used by simulators and the physical reality of radio signals. With this model, we investigate the impact of radio irregularity on several upper layer protocols, including MAC, routing, localization and topology control. Our results show that radio irregularity has a relatively larger impact on the routing layer than the MAC layer. It also shows that radio irregularity leads to larger localization errors and makes it harder to maintain communication connectivity in topology control. To deal with these issues, we present eight solutions to deal with radio irregularity. We evaluate three of them in detail. The results obtained from both the simulations and a running testbed demonstrate that our solutions greatly improve system performance in the presence of radio irregularity.}, address = {New York, NY, USA}, author = {Zhou, Gang and He, Tian and Krishnamurthy, Sudha and Stankovic, John A.}, citeulike-article-id = {2182918}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1149287}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1149283.1149287}, doi = {10.1145/1149283.1149287}, issn = {1550-4859}, journal = {ACM Transaction on Sensor Networks}, keywords = {other}, month = {May}, number = {2}, pages = {221--262}, posted-at = {2007-12-31 07:26:14}, priority = {4}, publisher = {ACM}, title = {Models and solutions for radio irregularity in wireless sensor networks}, url = {http://dx.doi.org/10.1145/1149283.1149287}, volume = {2}, year = {2006} }

TY - JOUR ID - citeulike:2182918 L3 - citeulike-article-id:2182918 N2 - In this article, we investigate the impact of radio irregularity on wireless sensor networks. Radio irregularity is a common phenomenon that arises from multiple factors, such as variance in RF sending power and different path losses, depending on the direction of propagation. From our experiments, we discover that the variance in received signal strength is largely random; however, it exhibits a continuous change with incremental changes in direction. With empirical data obtained from the MICA2 and MICAZ platforms, we establish a radio model for simulation, called the Radio Irregularity Model (RIM). This model is the first to bridge the discrepancy between the spherical radio models used by simulators and the physical reality of radio signals. With this model, we investigate the impact of radio irregularity on several upper layer protocols, including MAC, routing, localization and topology control. Our results show that radio irregularity has a relatively larger impact on the routing layer than the MAC layer. It also shows that radio irregularity leads to larger localization errors and makes it harder to maintain communication connectivity in topology control. To deal with these issues, we present eight solutions to deal with radio irregularity. We evaluate three of them in detail. The results obtained from both the simulations and a running testbed demonstrate that our solutions greatly improve system performance in the presence of radio irregularity. IS - 2 JF - ACM Transaction on Sensor Networks SN - 1550-4859 AD - New York, NY, USA EP - 262 TI - Models and solutions for radio irregularity in wireless sensor networks PB - ACM VL - 2 SP - 221 KW - other AU - Zhou, Gang AU - He, Tian AU - Krishnamurthy, Sudha AU - Stankovic, John PY - 2006/05// UR - http://dx.doi.org/10.1145/1149283.1149287 ER -