Simulation Study of Maximum Amount Shortest Path Routing in Wireless Sensor Networks Using Ns-3

Spatially unbalanced energy consumption among sensors is the most important issue in Wireless Sensor Networks (WSNs). This uneven energy consumption can significantly reduce network lifetime. The use of sink mobility with constrained paths and decreasing the message flood by limiting the flood area can help to improve the energy efficiency in WSNs. Maximum Amount Shortest Path routing (MASP) is an efficient protocol using this idea. MASP is proactive (table-driven) in nature and tries to collect the largest amount of data with least energy. MASP makes use of constrained paths for the trajectories of mobile sinks and divides the deployed sensor nodes into independent zones to construct the routing tables. In this paper we discuss the implementation of MASP and conduct a performance evaluation of it using the ns-3 network simulator.