Title :
A Transmission Scheme for Wireless Sensor Networks Using Ant Colony Optimization With Unconventional Characteristics
Author_Institution :
Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
Abstract :
An effective transmission strategy should achieve maximum possible energy efficiency (MPEE) and maximum possible energy balancing (MPEB) for lifespan maximization in wireless sensor networks (WSNs). In this letter, a transmission scheme with two strategies of MPEB is proposed to realize the unity of MPEE and MPEB, and ultimately to maximize the lifetime of WSNs. This transmission scheme is based on ant colony optimization (ACO), but it is quite different from conventional ACO algorithms in two aspects: every ant only needs to move one step to finish its complete trip, and there is no heuristic information in the transition probability of the ant. Finally, simulations are used to validate the effectiveness and superiority of our proposed transmission scheme.
Keywords :
ant colony optimisation; probability; telecommunication network reliability; wireless sensor networks; ACO algorithms; MPEB; MPEE; WSNs; ant colony optimization; lifespan maximization; maximum possible energy balancing; maximum possible energy efficiency; transition probability; transmission scheme; wireless sensor networks; Ant colony optimization; Complexity theory; Corona; Energy consumption; Heuristic algorithms; Routing; Wireless sensor networks; Wireless sensor networks (WSNs); ant colony optimization (ACO); maximum possible energy balancing (MPEB); maximum possible energy efficiency (MPEE); transmission scheme;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.2317789
