  Limited energy resources and sensor nodes adaptability with the surrounding
environment play a significant role in the sustainable Wireless Sensor
Networks. This paper proposes a novel, dynamic, self-organizing opportunistic
clustering using Hesitant Fuzzy Linguistic Term Analysis-based Multi-Criteria
Decision Modeling methodology in order to overcome the CH decision making
problems and network lifetime bottlenecks. The asynchronous sleep/awake cycle
strategy could be exploited to make an opportunistic connection between sensor
nodes using opportunistic connection random graph. Every node in the network
observe the node gain degree, energy welfare, relative thermal entropy, link
connectivity, expected optimal hop, link quality factor etc. to form the
criteria for Hesitant Fuzzy Linguistic Term Set. It makes the node to evaluate
its current state and make the decision about the required action (CH, CM or
relay). The simulation results reveal that our proposed scheme leads to an
improvement in network lifetime, packet delivery ratio and overall energy
consumption against existing benchmarks.
