Improved MAC Control Using Fuzzy Logic for Enhancing Battery Life Time in Wireless Sensor Networks
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Abstract
Now a days, the Wireless Sensor Networks (WSNs) is the tremendous ongoing research area
due to applications in the various fields. In wireless medium the major drawback is the high rate
of packet drop, due to this data aggregation performed on the sensed data can be lost, however
energy aware on the network path parameters is also essential to select an appropriate path for
sending the data. In addition, to increase the battery life of a network, an efficient strategy is
needed. Therefore, in this paper interestingly we propose Energy Aware-Radio Activation
Policy (EA-RAP) MAC with collaboration of cross-layered fuzzy rule scheduling to guarantee
QOS requirements, that all packets are transmitted with low Bit Error Rate (BER), minimize
waiting time and improved network life time. As a result, our protocols are referred to as
EA-RAP MAC and EA-MAC respectively applied for health care scenario. To this end,
numerous simulations have been conducted for evaluating the performance of the proposed
protocols in the perspective of network lifetime. In addition, sufficient comparisons have been
conducted with the existing state-of-the-art protocols. In overall, the EA-RAP MAC protocol
keeps the network functioning the longest.