Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty

Table 1

Several performance metrics in WSNs.

System lifetime	The number of parameters in modeling that define the durability of the nodes is used to display the system lifetime. In sensor node, the most important factor is lifetime, hence energy should always be used as efficiently and effectively in all aspects of the node and network.
Latency	Data from provoked occurrences is commonly time-dependent, but in most circumstances, recurrent sensing is tolerable since the resulting latency is only a matter of seconds.
Quality	The end-user never needs all of the data; only the incident data are then processed in BS for analysis. As a result, the network’s quality is influenced by the data aggregation architecture and protocols utilized, as well as the application’s specific requirements.
Delay and delay variation	Delay is defined as it takes to send and receive a data packets packet from one node to another, while delay variation is the time it takes for a delay metric to change in relation to some standard value. Information gathering from nodes to the BS and interpretation in the BS are both concerned about delays in sensor networks.
Bandwidth, capacity, and throughput	These represent the amount of data that can be sent through a network in a given amount of time; however, because the data are so little, bandwidth is rarely an issue.
Hop count	The number of hops in communication takes into account the cost of the path and, subsequently, the amount of energy used in the transmission.
Signal strength	Signal-to-noise ratio (SNR) is being used to compute and identify the nodes and their accessibility during the process of communication as a measure of connection quality and distance between two nodes.
Ease of deployment	Sensor networks are made up of a small number of sensors that must be able to communicate with each other even when there is no traditional networks infrastructure.