TY  - CONF
AV  - none
PB  - IEEE Computer Society
Y1  - 2013///
KW  - Computer simulation; Signal processing; Wireless telecommunication systems
KW  -  CTS response; Data aggregation; Network lifetime; Packet loss probability; Received signal strength indicators; RSSI; Transmission energy consumption; Wireless sensor network (WSNs)
KW  -  Sensor nodes
TI  - Data aggregation using RSSI for multihop wireless sensor networks
N2  - In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence reduces the transmission energy consumption. In this work, we propose two data aggregation mechanisms (class-based and alpha-based) that aggregate and route data packet based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI value with respect to a sink node. When a data packet is generated, an aggregation identification (Agg ID) is associated with that packet. Using the RSSI and Agg ID in RSSI-Based Forwarding (RBF), we favor nodes closer to sink when aggregating and relaying a data packet. We show via simulation the performance of the proposed mechanisms in terms of normalized number of transmissions, energy consumed per data packet, network lifetime and packet loss probability. © 2013 IEEE.
CY  - Hangzhou
A1  - Awang, A.
A1  - Agarwal, S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898941480&doi=10.1109%2fWCSP.2013.6677041&partnerID=40&md5=0484275ab5869fc2a308055d2be91cb3
N1  - cited By 0; Conference of 2013 International Conference on Wireless Communications and Signal Processing, WCSP 2013 ; Conference Date: 24 October 2013 Through 26 October 2013; Conference Code:104638
ID  - scholars3840
ER  -