Optimal Energy Efficient Mobility Management Routing Protocol for the Next Generation Networks

  • L. Pallavi et al.


Connecting physical things to the internet helps to use remote sensor data and it allows controlling the
physical world from distance. Currently IoT is used for the diverse areas like industries and smart home
etc. For efficient data transmission in such cases cluster head (CH) is selected from diverse IoT devices. In
this paper the mobility is taken as the major problem. Thus to maintain proper mobility in WPAN
environment a novel protocol called optimal energy efficient mobility management (ORPL) for 6LoWPAN
is proposed. The proposed ORPL protocol is used in hard and soft hand-off. The major contributions of the
proposed protocols are; initially the cluster is formed using artificial algae optimization algorithm. In the
cluster formation the cluster member will move in the cluster domain. In this case within the cluster domain
the mobility handover is performed also the control messages are only transferred between nearby nodes.
This will reduce mobility handover cost, delay and energy consumption. The second contribution is the CH
selection using Hunting search based decision making algorithms. For selecting the CH the location
information based on the destination address of the routing path that connecting destination CH which
automatically built without routing discovery. Third contribution is to find the congestion prediction and
selection of optimal links in order to control user mobility, for this purpose back track searching algorithm
is used. The proposed ORPL protocol is implemented in Network simulator (NS2) tool. The analysis is
performed for the parameters like hand-off delay, packet delivery rate, overhead and energy consumption.
For the analysis purpose grid deployment of 12 APs and a root node are considered. The data generated by
the MN is collected by root node and it is deployed in 8 m × 20 m room size. By using the optimal link the
data is transmitted. The speed of the Mobile Node (MN) is constrained to the scope of human walk speed:
from 0.5 m/s to a 2 m/s.