Table 1 Summary of research gaps.

From: Optimal cluster-based energy efficient routing scheme for QoS aware IoT-enabled wireless body area network

References

Routing

Technique used

Findings

Research gaps

21

Priority-based congestion-avoidance routing

Type-2 fuzzy

Network throughput, traffic load

High network overhead due to congestion

23

SENET

World competitive contests (WCC)

Energy consumption

Grounds massive package losses, and serious packets are released

25

CoSMP

AES-CFMAC and ECDSA

Link failure probability delay

Not suitable for high density nodes which causes data transfer delay

26

EHCRP

Generative SVM

Network lifetime, throughput

Affected by network congestion which limits the energy efficiency

28

i-MAC

Modified superframe structure

Latency and power consumption

They not consider the load balancing in the network

29

Secure cross-domain access control scheme

RSA and ECC

Computation cost, routing overhead

Complex design due to mathematical process of ECC

31

ECDSMR

ECC and ECDSMR

Network lifetime, throughput

Continued to be unable to withstand the harmful elements, resulting in a significant rate of data loss

33

EEAWuR-MAC protocol

Genetic optimal algorithm

Delay and energy consumption

The issue of network overhead remains unresolved

35

B-DEAH

PRESENT and MOORA

Network throughput, packet loss rate

Scalability is limited, and additional delay occurs due to dual verification in the blockchain

37

Energy aware clustering scheme

CSO

Throughput and propagation delay

Applicable only to specific applications and unsuitable for real-time scenarios