MCNS: A New Energy-Efficient Transmission Scheme in WSNs
Wireless Sensor Networks (WSNs) are resource constrained in terms of limited battery energy, bandwidth, memory, and processing performance. The energy consumption is the major research issues due to limited battery power while designing the algorithms and routing protocols for WSNs. At every level of WSN operations such as computing, routing, sensing etc. efficiency in energy is required. The consumption of energy in radio communication is majorly depends on number of bits of data which is to be transmitted between sensor nodes. The bits are then encoded into the packets during the transmission process through the routing protocol. The consumption of energy can be reduced by compressing the bits before transmitting at transmitter. Compression helps to reduce the total number of bits to be transmitted and hence resulted into energy consumption reduction and improves the network lifetime. In this paper, we are presenting the Compression with Null Symbol (CNS) method and the modified CNS (MCNS) compression methods while transmitting data from transceiver to receiver in WSNs. MCNS is based on existing CNS technique by using the adaptive fuzzy based encoding algorithm with CNS technique. The CNS and MCNS are designed as WSNs routing protocols and compare their performance in terms of energy efficiency, network lifetime and data rate performance using NS2.
Keywords - Encoding, Data Compression, Sensor Networks, WSN, CNS, Energy Efficiency