A performance comparison of multi-hop wireless ad hoc network routing protocols
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
On the minimum node degree and connectivity of a wireless multihop network
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
Ad-hoc On-Demand Distance Vector Routing
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Wireless sensor networks
BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Termite: a swarm intelligent routing algorithm for mobile wireless ad-hoc networks
Termite: a swarm intelligent routing algorithm for mobile wireless ad-hoc networks
MANET simulation studies: the incredibles
ACM SIGMOBILE Mobile Computing and Communications Review - Special Issue on Medium Access and Call Admission Control Algorithms for Next Generation Wireless Networks.: The Digital Library version of this issue has a corrected special issue title compared to the one in the print version of the issue.
Bee-Inspired Protocol Engineering: From Nature to Networks
Bee-Inspired Protocol Engineering: From Nature to Networks
BeeSensor: A Bee-Inspired Power Aware Routing Protocol for Wireless Sensor Networks
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
An energy-efficient ant-based routing algorithm for wireless sensor networks
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Formal Modeling of BeeAdHoc: A Bio-inspired Mobile Ad Hoc Network Routing Protocol
ANTS '08 Proceedings of the 6th international conference on Ant Colony Optimization and Swarm Intelligence
On performance modeling of ad hoc routing protocols
EURASIP Journal on Wireless Communications and Networking
Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions
Information Sciences: an International Journal
Markovian agent modeling swarm intelligence algorithms in wireless sensor networks
Performance Evaluation
BeeSensor: An energy-efficient and scalable routing protocol for wireless sensor networks
Information Sciences: an International Journal
Analysis of ant-based routing with wireless medium access control
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
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Bio-inspired ad hoc routing is an active area of research. The designers of these algorithms predominantly evaluate the performance of their protocols with the help of simulation studies. Such studies are mostly scenario and simulator specific and their results cannot be generalized to other scenarios and simulators. Therefore, we argue that mathematical tools should be utilized to develop a consistent, provable and compatible formal framework in order to provide an unbiased evaluation of Bio-inspired ad hoc routing protocols. Motivated by this requirement, in this paper, we develop a probabilistic performance evaluation framework that can be used to model the following key performance metrics of an ad hoc routing algorithm: (1) routing overhead, (2) route optimality, and (3) energy consumption. We utilize this framework to model a well known Bee-inspired routing protocol for ad hoc sensor networks, BeeSensor. We also show that the proposed framework is generic enough and can easily be adapted to even model a classical routing protocol, Ad Hoc on Demand Distance Vector (AODV). The modeled metrics of the two algorithms not only allow unbiased performance comparison but also provide interesting insights into the parameters governing the behavior of these routing protocols.