TY - JOUR JF - Wireless Personal Communications VL - 80 Y1 - 2015/// A1 - Awang, A. A1 - Agarwal, S. UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84921755129&doi=10.1007%2fs11277-014-2031-5&partnerID=40&md5=f3a7156d11cd9143518021e70861b6c0 N1 - cited By 8 PB - Kluwer Academic Publishers SP - 611 AV - none SN - 09296212 N2 - In wireless sensor networks (WSNs), due to dense deployment, sensory data gathered by sensor nodes in close proximity tend to exhibit high correlation and therefore redundant. Transmitting such redundant data is not practical in the energy-constrained WSNs. Data aggregation offers a key solution to reduce such redundancy by allowing intermediate nodes to aggregate raw data streams before routing them toward a sink node. This in turn reduces transmission energy consumption. Prior work in data aggregation often rely on nodeâ??s location for selecting an aggregator node, a fusion point. In this work, we propose two data aggregation mechanisms where aggregator nodes are determined opportunistically without dependency on global knowledge of data flow, network topology and nodesâ?? geographical location. These mechanisms aggregate and route data packets based on Received Signal Strength Indicator (RSSI). An aggregation identification (AggID) is associated with each data packet generated by a sensor node. The RSSI and AggID are used in the RSSI-Based Fowarding for favoring nodes closer to sink to be an aggregator and also a relay node. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, total number of packets transmissions and receptions, average energy consumed per data packet, network lifetime, end-to-end delay and packet loss probability. © 2014, Springer Science+Business Media New York. KW - Aggregates; Data streams; Energy utilization; Packet networks KW - Cross layer; CTS response; Data aggregation; Network lifetime; RSSI; Structure-free KW - Sensor nodes IS - 2 TI - Data Aggregation Using Dynamic Selection of Aggregation Points Based on RSSI for Wireless Sensor Networks ID - scholars6398 EP - 633 ER -