Abstract: Wireless Sensor Network (WSN) plays a major role in collecting physical data from various locations using battery powered sensor nodes and forward it to the sink node. Limited energy resource is the major constraint associated with WSN, since in most cases it may not be possible to change or recharge batteries. For successful communication, the lifetime of sensor nodes or motes play an important role. Hence, designing of energy efficient routing algorithm is one of the key challenges that need to be addressed for extending the life time of the network. In this paper, cooperative game theoretic approach is applied in A Novel Clustering Algorithm for Energy Efficiency (G-ANCAEE) and low energy adaptive clustering hierarchy (G-LEACH). The G-ANCAEE performance enhances the life time of the nodes by minimizing energy consumption during data transmission. The G-ANCAEE involves fixed clusters and randomized weighted algorithm for cluster head (CH) selection which efficiently reduces the energ

• Publication Date: 13-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-08
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Abstract: Multi-Carrier Code Division Multiple Access MC-CDMA is a promising technology for supporting high data rate in next generation wireless networks. By combining MCCDMA technology with Multiple-Input Multiple-Output (MIMO) spatial multiplexing, data transfer rate can be enhanced. However, the performance of MCCDMA technology is limited by the multiple-access Interference (MAI) and Inter- Carrier Interference (ICI). In this paper, the interference noise is diminished by adopting power control and subcarrier allocation methods to enhance the system performances like capacity, BER and power savings through Iterative water filling game theory. The water filling game strategy assigns power level to each subcarrier based on the SINR value received by the transmitter instead of getting full channel state information, which is time varying in nature. The subcarrier group assignment is implemented by selecting best subcarriers with maximum SINR value. The performances of mean capacity, BER and pow

• Publication Date: 13-Jul-2013
• DOI: 10.15224/978-981-07-7021-1-09
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