Analyzing the Multi hop Connectivity Performance in Brownian Underwater Wireless Sensor Networks

Wireless sensor networks have emerged as the major criteria that enable the Internet of things evolution. To transport a data packet from sensing nodes to collected data node, a typical wireless sensor network usually operates in multi hop fashion due to its coverage and transmission limitations. Otherwise, several applications required the wireless sensor network operating in dynamical environments such as underwater, micro sensors or social sectors. These operated environments create a new challenge affected to network performance because the natural movement of nodes is unpredicted. The paper presents a novel analysis for validating performance of multi hop connectivity in underwater wireless sensor network that contains Brownian motion sensed nodes except a sink node. Moreover, a destination oriented routing strategy for optimizing path quality is proposed and evaluated by numerical results.