SENDROM is a new sensor network architecture to manage the rescue operations after large scale disasters. This architecture mainly consists of sensor nodes deployed prior to a disaster and central nodes that can query sensor nodes. Central nodes are stored nearby the emergency operation centers and airports before a disaster. Following a disaster rescue teams are assigned one mobile central node and guided to a region based on the data in the SENDROM database. This paper explains the SENDROM architecture as well as our new task and data dissemination, localization of a detected person, and end-to-end reliable event transfer schemes introduced for SENDROM. Then it evaluates the performance of these schemes analytically and through simulation.

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Number of indoor Wireless Sensor Network (WSN) applications are increasing day by day. However, there are many interferers (like 802.11x and 802.15.4 devices) effecting 2.4 GHz band.Moreover, co-existence is a bigger challenge for WSNs because of their tiny structure and resource constraints. In this paper, a novel method is proposed to predict the near future channel quality using the statistical channel noise history. By using the prediction method, WSN node channel access can be scheduled when the channel is free in order to increase performance. In this paper, first, noisy channels are analyzed to find a prediction metric. Then, with the help of the prediction algorithm developed, channel access is performed. The results obtained from the test bed show that our approach incurs up to 60% to 90% reduction in noisy channel access which satisfies less packet loss and less interference with non-WSN communications.

Abstract:Coexistence is among the most significant challenges for IEEE 802.15.4-compliant devices in indoor environments. Previous works have shown that IEEE 802.11-compliant devices are the major sources of interference in the 2.4GHz industrial, scientific, and medical band. In order to overcome the coexistence problem, IEEE 802.15.4-compliant devices should monitor the communication channel and access the channel when it is not in use. In this study, the impact of IEEE 802.11 traffic on IEEE 802.15.4 communication is analyzed and a novel predictive channel access scheme, PRESCIENT (PREdictive channel access SCheme for IEee 802.15.4-compliaNT devices), is proposed. The performance evaluation of the proposed scheme is performed using real-world radio frequency signal strength measurements. The results show that the proposed scheme achieves significant performance improvement in terms of channel access under IEEE 802.11 interference.

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